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13797 строки
670 KiB
Plaintext
13797 строки
670 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "5c39c249",
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"metadata": {},
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"source": [
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"# Исследование и настройка предсказательной модели для цен подержанных автомобилях"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f8ee2da9",
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"metadata": {},
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"source": [
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"Блокнот использует файл аугментированных данных датасета о подержанных автомобилях, создаваемый блокнотом `eda/cars_eda.py`. См. ниже параметры блокнота для papermill."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "030077f5-b1e3-4b5a-9e2f-4dc83a7bfa1e",
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"metadata": {},
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"outputs": [],
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"source": [
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"#XXX: разделить блокнот штук на 5"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "2a9483a4",
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"metadata": {},
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"outputs": [],
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"source": [
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"from typing import Optional"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "3d7aae3e",
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"metadata": {
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"tags": [
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"parameters"
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]
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},
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"outputs": [],
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"source": [
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"data_aug_pickle_path: Optional[str] = None\n",
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"# Полный путь к файлу (pickle) для сохранения очищенного датасета. Если не установлен, используется `data/<data_aug_pickle_relpath>`.\n",
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"data_aug_pickle_relpath: str = 'cars.aug.pickle'\n",
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"# Путь к файлу (pickle) для сохранения очищенного датасета относительно директории данных `data`. Игнорируется, если установлен data_aug_pickle_path.\n",
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"\n",
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"#model_global_comment_path: Optional[str] = None\n",
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"## Полный путь к текстовому файлу с произвольным комментарием для сохранения в MLFlow как артефакт вместе с моделью. Если не установлен, используется `research/<comment_relpath>`.\n",
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"#model_comment_relpath: str = 'comment.txt'\n",
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"## Путь к текстовому файлу с произвольным комментарием для сохранения в MLFlow как артефакт вместе с моделью относительно директории `research`. Игнорируется, если установлен comment_path.\n",
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"\n",
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"mlflow_tracking_server_uri: str = 'http://localhost:5000'\n",
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"# URL tracking-сервера MLFlow.\n",
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"mlflow_registry_uri: Optional[str] = None\n",
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"# URL сервера registry MLFlow (если не указан, используется `mlflow_tracking_server_uri`).\n",
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"\n",
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"mlflow_do_log: bool = False\n",
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"# Записывать ли прогоны (runs) в MLFlow.\n",
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"mlflow_experiment_id: Optional[str] = None\n",
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"# ID эксперимента MLFlow, имеет приоритет над `mlflow_experiment_name`.\n",
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"mlflow_experiment_name: Optional[str] = 'Current price predicion for used cars'\n",
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"# Имя эксперимента MLFlow (ниже приоритетом, чем `mlflow_experiment_id`).\n",
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"mlflow_root_run_name: str = 'Models'\n",
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"# Имя корневого прогона MLFlow (остальные прогоны будут созданы блокнотом внутри этого, как nested)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "7afe82f3",
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"metadata": {},
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"outputs": [],
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"source": [
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"from collections.abc import Collection, Sequence\n",
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"import os\n",
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"import pathlib\n",
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"import pickle\n",
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"import sys"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "a02f69a7",
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib\n",
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"import mlflow\n",
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"import mlflow.models\n",
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"import mlflow.sklearn\n",
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"import mlxtend.feature_selection\n",
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"import mlxtend.plotting\n",
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"import optuna\n",
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"import optuna.samplers\n",
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"import sklearn.compose\n",
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"import sklearn.ensemble\n",
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"import sklearn.metrics\n",
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"import sklearn.model_selection\n",
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"import sklearn.pipeline\n",
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"import sklearn.preprocessing"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "f9a47ec5",
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"metadata": {},
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"outputs": [],
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"source": [
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"BASE_PATH = pathlib.Path('..')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "66d6fe3d",
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"metadata": {},
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"outputs": [],
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"source": [
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"CODE_PATH = BASE_PATH\n",
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"sys.path.insert(0, str(CODE_PATH.resolve()))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "1c227e7d",
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"metadata": {},
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"outputs": [],
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"source": [
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"from iis_project.mlxtend_utils.feature_selection import SEQUENTIAL_FEATURE_SELECTOR_PARAMS_COMMON_INCLUDE\n",
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"from iis_project.sklearn_utils import filter_params\n",
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"from iis_project.sklearn_utils.compose import COLUMN_TRANSFORMER_PARAMS_COMMON_INCLUDE\n",
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"from iis_project.sklearn_utils.ensemble import RANDOM_FOREST_REGRESSOR_PARAMS_COMMON_EXCLUDE\n",
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"from iis_project.sklearn_utils.pandas import pandas_dataframe_from_transformed_artifacts\n",
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"from iis_project.sklearn_utils.preprocessing import STANDARD_SCALER_PARAMS_COMMON_EXCLUDE"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "0b847527",
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"metadata": {},
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"outputs": [],
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"source": [
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"MODEL_INOUT_EXAMPLE_SIZE = 0x10"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "2a3a7a2e",
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"metadata": {},
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"outputs": [],
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"source": [
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"mlflow.set_tracking_uri(mlflow_tracking_server_uri)\n",
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"if mlflow_registry_uri is not None:\n",
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" mlflow.set_registry_uri(mlflow_registry_uri)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "4f60bfaa",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"2025/11/02 01:54:17 INFO mlflow.tracking.fluent: Experiment with name 'Current price predicion for used cars' does not exist. Creating a new experiment.\n"
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]
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}
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],
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"source": [
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"if mlflow_do_log:\n",
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" mlflow_experiment = mlflow.set_experiment(experiment_name=mlflow_experiment_name, experiment_id=mlflow_experiment_id)\n",
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" mlflow_root_run_id = None # изменяется позже"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"id": "97d23eb9",
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"metadata": {},
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"outputs": [],
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"source": [
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"DATA_PATH = (\n",
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" pathlib.Path(os.path.dirname(data_aug_pickle_path))\n",
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" if data_aug_pickle_path is not None\n",
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" else (BASE_PATH / 'data')\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"id": "493e9bd3-463c-41f6-b32f-f08bdf4a6323",
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"metadata": {},
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"outputs": [],
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"source": [
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"def build_sequential_feature_selector(*args, **kwargs):\n",
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" return mlxtend.feature_selection.SequentialFeatureSelector(*args, **kwargs)\n",
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"\n",
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"def plot_sequential_feature_selection(feature_selector, *args_rest, **kwargs):\n",
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" metric_dict = feature_selector.get_metric_dict()\n",
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" return mlxtend.plotting.plot_sequential_feature_selection(metric_dict, *args_rest, **kwargs)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "4b20cbda",
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"metadata": {},
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"source": [
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"## Загрузка и обзор данных"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"id": "e2b45fd1",
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"metadata": {},
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"outputs": [],
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"source": [
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"with open(\n",
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" (\n",
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" data_aug_pickle_path\n",
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" if data_aug_pickle_path is not None\n",
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" else (DATA_PATH / data_aug_pickle_relpath)\n",
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" ),\n",
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" 'rb',\n",
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") as input_file:\n",
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" df_orig = pickle.load(input_file)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "c3ef97d1",
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"metadata": {},
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"source": [
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"Обзор датасета:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"id": "d45da024",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"299"
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]
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},
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
|
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"len(df_orig)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"id": "75b0feea",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<class 'pandas.core.frame.DataFrame'>\n",
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"Index: 299 entries, 0 to 300\n",
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"Data columns (total 15 columns):\n",
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" # Column Non-Null Count Dtype \n",
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"--- ------ -------------- ----- \n",
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" 0 car_name 299 non-null object \n",
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" 1 year 299 non-null int64 \n",
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" 2 selling_price 299 non-null float64 \n",
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" 3 present_price 299 non-null float64 \n",
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" 4 driven_kms 299 non-null int64 \n",
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" 5 fuel_type 299 non-null category\n",
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" 6 selling_type 299 non-null category\n",
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" 7 transmission 299 non-null category\n",
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" 8 owner 299 non-null category\n",
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" 9 age 299 non-null float64 \n",
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" 10 present_price_ratio 299 non-null float64 \n",
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" 11 log_selling_price 299 non-null float64 \n",
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" 12 log_present_price 299 non-null float64 \n",
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" 13 log_driven_kms 299 non-null float64 \n",
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" 14 log_age 299 non-null float64 \n",
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"dtypes: category(4), float64(8), int64(2), object(1)\n",
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"memory usage: 29.3+ KB\n"
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]
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}
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],
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"source": [
|
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"df_orig.info()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"id": "5b336654",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
|
|
" vertical-align: middle;\n",
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" }\n",
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"\n",
|
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" .dataframe tbody tr th {\n",
|
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" vertical-align: top;\n",
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" }\n",
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"\n",
|
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" .dataframe thead th {\n",
|
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" text-align: right;\n",
|
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" }\n",
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"</style>\n",
|
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"<table border=\"1\" class=\"dataframe\">\n",
|
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" <thead>\n",
|
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>car_name</th>\n",
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" <th>year</th>\n",
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" <th>selling_price</th>\n",
|
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" <th>present_price</th>\n",
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" <th>driven_kms</th>\n",
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" <th>fuel_type</th>\n",
|
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" <th>selling_type</th>\n",
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" <th>transmission</th>\n",
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" <th>owner</th>\n",
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" <th>age</th>\n",
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" <th>present_price_ratio</th>\n",
|
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" <th>log_selling_price</th>\n",
|
|
" <th>log_present_price</th>\n",
|
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" <th>log_driven_kms</th>\n",
|
|
" <th>log_age</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
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" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
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|
" <td>ritz</td>\n",
|
|
" <td>2014</td>\n",
|
|
" <td>5.59</td>\n",
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" <td>3.35</td>\n",
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" <td>27000</td>\n",
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|
" <td>petrol</td>\n",
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|
" <td>dealer</td>\n",
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|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>5.0</td>\n",
|
|
" <td>0.599284</td>\n",
|
|
" <td>0.747412</td>\n",
|
|
" <td>0.525045</td>\n",
|
|
" <td>4.431364</td>\n",
|
|
" <td>0.698970</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>1</th>\n",
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" <td>sx4</td>\n",
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" <td>2013</td>\n",
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" <td>9.54</td>\n",
|
|
" <td>4.75</td>\n",
|
|
" <td>43000</td>\n",
|
|
" <td>diesel</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>6.0</td>\n",
|
|
" <td>0.497904</td>\n",
|
|
" <td>0.979548</td>\n",
|
|
" <td>0.676694</td>\n",
|
|
" <td>4.633468</td>\n",
|
|
" <td>0.778151</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>2</th>\n",
|
|
" <td>ciaz</td>\n",
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" <td>2017</td>\n",
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" <td>9.85</td>\n",
|
|
" <td>7.25</td>\n",
|
|
" <td>6900</td>\n",
|
|
" <td>petrol</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2.0</td>\n",
|
|
" <td>0.736041</td>\n",
|
|
" <td>0.993436</td>\n",
|
|
" <td>0.860338</td>\n",
|
|
" <td>3.838849</td>\n",
|
|
" <td>0.301030</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>3</th>\n",
|
|
" <td>wagon r</td>\n",
|
|
" <td>2011</td>\n",
|
|
" <td>4.15</td>\n",
|
|
" <td>2.85</td>\n",
|
|
" <td>5200</td>\n",
|
|
" <td>petrol</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>8.0</td>\n",
|
|
" <td>0.686747</td>\n",
|
|
" <td>0.618048</td>\n",
|
|
" <td>0.454845</td>\n",
|
|
" <td>3.716003</td>\n",
|
|
" <td>0.903090</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>4</th>\n",
|
|
" <td>swift</td>\n",
|
|
" <td>2014</td>\n",
|
|
" <td>6.87</td>\n",
|
|
" <td>4.60</td>\n",
|
|
" <td>42450</td>\n",
|
|
" <td>diesel</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>5.0</td>\n",
|
|
" <td>0.669578</td>\n",
|
|
" <td>0.836957</td>\n",
|
|
" <td>0.662758</td>\n",
|
|
" <td>4.627878</td>\n",
|
|
" <td>0.698970</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>5</th>\n",
|
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" <td>vitara brezza</td>\n",
|
|
" <td>2018</td>\n",
|
|
" <td>9.83</td>\n",
|
|
" <td>9.25</td>\n",
|
|
" <td>2071</td>\n",
|
|
" <td>diesel</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1.0</td>\n",
|
|
" <td>0.940997</td>\n",
|
|
" <td>0.992554</td>\n",
|
|
" <td>0.966142</td>\n",
|
|
" <td>3.316180</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>6</th>\n",
|
|
" <td>ciaz</td>\n",
|
|
" <td>2015</td>\n",
|
|
" <td>8.12</td>\n",
|
|
" <td>6.75</td>\n",
|
|
" <td>18796</td>\n",
|
|
" <td>petrol</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4.0</td>\n",
|
|
" <td>0.831281</td>\n",
|
|
" <td>0.909556</td>\n",
|
|
" <td>0.829304</td>\n",
|
|
" <td>4.274065</td>\n",
|
|
" <td>0.602060</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>7</th>\n",
|
|
" <td>s cross</td>\n",
|
|
" <td>2015</td>\n",
|
|
" <td>8.61</td>\n",
|
|
" <td>6.50</td>\n",
|
|
" <td>33429</td>\n",
|
|
" <td>diesel</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4.0</td>\n",
|
|
" <td>0.754936</td>\n",
|
|
" <td>0.935003</td>\n",
|
|
" <td>0.812913</td>\n",
|
|
" <td>4.524123</td>\n",
|
|
" <td>0.602060</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>8</th>\n",
|
|
" <td>ciaz</td>\n",
|
|
" <td>2016</td>\n",
|
|
" <td>8.89</td>\n",
|
|
" <td>8.75</td>\n",
|
|
" <td>20273</td>\n",
|
|
" <td>diesel</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>3.0</td>\n",
|
|
" <td>0.984252</td>\n",
|
|
" <td>0.948902</td>\n",
|
|
" <td>0.942008</td>\n",
|
|
" <td>4.306918</td>\n",
|
|
" <td>0.477121</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>9</th>\n",
|
|
" <td>ciaz</td>\n",
|
|
" <td>2015</td>\n",
|
|
" <td>8.92</td>\n",
|
|
" <td>7.45</td>\n",
|
|
" <td>42367</td>\n",
|
|
" <td>diesel</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4.0</td>\n",
|
|
" <td>0.835202</td>\n",
|
|
" <td>0.950365</td>\n",
|
|
" <td>0.872156</td>\n",
|
|
" <td>4.627028</td>\n",
|
|
" <td>0.602060</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>10</th>\n",
|
|
" <td>alto 800</td>\n",
|
|
" <td>2017</td>\n",
|
|
" <td>3.60</td>\n",
|
|
" <td>2.85</td>\n",
|
|
" <td>2135</td>\n",
|
|
" <td>petrol</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2.0</td>\n",
|
|
" <td>0.791667</td>\n",
|
|
" <td>0.556303</td>\n",
|
|
" <td>0.454845</td>\n",
|
|
" <td>3.329398</td>\n",
|
|
" <td>0.301030</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>11</th>\n",
|
|
" <td>ciaz</td>\n",
|
|
" <td>2015</td>\n",
|
|
" <td>10.38</td>\n",
|
|
" <td>6.85</td>\n",
|
|
" <td>51000</td>\n",
|
|
" <td>diesel</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4.0</td>\n",
|
|
" <td>0.659923</td>\n",
|
|
" <td>1.016197</td>\n",
|
|
" <td>0.835691</td>\n",
|
|
" <td>4.707570</td>\n",
|
|
" <td>0.602060</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>12</th>\n",
|
|
" <td>ciaz</td>\n",
|
|
" <td>2015</td>\n",
|
|
" <td>9.94</td>\n",
|
|
" <td>7.50</td>\n",
|
|
" <td>15000</td>\n",
|
|
" <td>petrol</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>automatic</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4.0</td>\n",
|
|
" <td>0.754527</td>\n",
|
|
" <td>0.997386</td>\n",
|
|
" <td>0.875061</td>\n",
|
|
" <td>4.176091</td>\n",
|
|
" <td>0.602060</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>13</th>\n",
|
|
" <td>ertiga</td>\n",
|
|
" <td>2015</td>\n",
|
|
" <td>7.71</td>\n",
|
|
" <td>6.10</td>\n",
|
|
" <td>26000</td>\n",
|
|
" <td>petrol</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4.0</td>\n",
|
|
" <td>0.791180</td>\n",
|
|
" <td>0.887054</td>\n",
|
|
" <td>0.785330</td>\n",
|
|
" <td>4.414973</td>\n",
|
|
" <td>0.602060</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>14</th>\n",
|
|
" <td>dzire</td>\n",
|
|
" <td>2009</td>\n",
|
|
" <td>7.21</td>\n",
|
|
" <td>2.25</td>\n",
|
|
" <td>77427</td>\n",
|
|
" <td>petrol</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>10.0</td>\n",
|
|
" <td>0.312067</td>\n",
|
|
" <td>0.857935</td>\n",
|
|
" <td>0.352183</td>\n",
|
|
" <td>4.888892</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>15</th>\n",
|
|
" <td>ertiga</td>\n",
|
|
" <td>2016</td>\n",
|
|
" <td>10.79</td>\n",
|
|
" <td>7.75</td>\n",
|
|
" <td>43000</td>\n",
|
|
" <td>diesel</td>\n",
|
|
" <td>dealer</td>\n",
|
|
" <td>manual</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>3.0</td>\n",
|
|
" <td>0.718258</td>\n",
|
|
" <td>1.033021</td>\n",
|
|
" <td>0.889302</td>\n",
|
|
" <td>4.633468</td>\n",
|
|
" <td>0.477121</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" car_name year selling_price present_price driven_kms fuel_type \\\n",
|
|
"0 ritz 2014 5.59 3.35 27000 petrol \n",
|
|
"1 sx4 2013 9.54 4.75 43000 diesel \n",
|
|
"2 ciaz 2017 9.85 7.25 6900 petrol \n",
|
|
"3 wagon r 2011 4.15 2.85 5200 petrol \n",
|
|
"4 swift 2014 6.87 4.60 42450 diesel \n",
|
|
"5 vitara brezza 2018 9.83 9.25 2071 diesel \n",
|
|
"6 ciaz 2015 8.12 6.75 18796 petrol \n",
|
|
"7 s cross 2015 8.61 6.50 33429 diesel \n",
|
|
"8 ciaz 2016 8.89 8.75 20273 diesel \n",
|
|
"9 ciaz 2015 8.92 7.45 42367 diesel \n",
|
|
"10 alto 800 2017 3.60 2.85 2135 petrol \n",
|
|
"11 ciaz 2015 10.38 6.85 51000 diesel \n",
|
|
"12 ciaz 2015 9.94 7.50 15000 petrol \n",
|
|
"13 ertiga 2015 7.71 6.10 26000 petrol \n",
|
|
"14 dzire 2009 7.21 2.25 77427 petrol \n",
|
|
"15 ertiga 2016 10.79 7.75 43000 diesel \n",
|
|
"\n",
|
|
" selling_type transmission owner age present_price_ratio \\\n",
|
|
"0 dealer manual 0 5.0 0.599284 \n",
|
|
"1 dealer manual 0 6.0 0.497904 \n",
|
|
"2 dealer manual 0 2.0 0.736041 \n",
|
|
"3 dealer manual 0 8.0 0.686747 \n",
|
|
"4 dealer manual 0 5.0 0.669578 \n",
|
|
"5 dealer manual 0 1.0 0.940997 \n",
|
|
"6 dealer manual 0 4.0 0.831281 \n",
|
|
"7 dealer manual 0 4.0 0.754936 \n",
|
|
"8 dealer manual 0 3.0 0.984252 \n",
|
|
"9 dealer manual 0 4.0 0.835202 \n",
|
|
"10 dealer manual 0 2.0 0.791667 \n",
|
|
"11 dealer manual 0 4.0 0.659923 \n",
|
|
"12 dealer automatic 0 4.0 0.754527 \n",
|
|
"13 dealer manual 0 4.0 0.791180 \n",
|
|
"14 dealer manual 0 10.0 0.312067 \n",
|
|
"15 dealer manual 0 3.0 0.718258 \n",
|
|
"\n",
|
|
" log_selling_price log_present_price log_driven_kms log_age \n",
|
|
"0 0.747412 0.525045 4.431364 0.698970 \n",
|
|
"1 0.979548 0.676694 4.633468 0.778151 \n",
|
|
"2 0.993436 0.860338 3.838849 0.301030 \n",
|
|
"3 0.618048 0.454845 3.716003 0.903090 \n",
|
|
"4 0.836957 0.662758 4.627878 0.698970 \n",
|
|
"5 0.992554 0.966142 3.316180 0.000000 \n",
|
|
"6 0.909556 0.829304 4.274065 0.602060 \n",
|
|
"7 0.935003 0.812913 4.524123 0.602060 \n",
|
|
"8 0.948902 0.942008 4.306918 0.477121 \n",
|
|
"9 0.950365 0.872156 4.627028 0.602060 \n",
|
|
"10 0.556303 0.454845 3.329398 0.301030 \n",
|
|
"11 1.016197 0.835691 4.707570 0.602060 \n",
|
|
"12 0.997386 0.875061 4.176091 0.602060 \n",
|
|
"13 0.887054 0.785330 4.414973 0.602060 \n",
|
|
"14 0.857935 0.352183 4.888892 1.000000 \n",
|
|
"15 1.033021 0.889302 4.633468 0.477121 "
|
|
]
|
|
},
|
|
"execution_count": 17,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"df_orig.head(0x10)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "e39f88d0",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Разделение датасета на выборки"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "df5b723b",
|
|
"metadata": {},
|
|
"source": [
|
|
"Выделение признаков и целевых переменных:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 18,
|
|
"id": "7a24a133",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"feature_columns = (\n",
|
|
" 'selling_price',\n",
|
|
" 'driven_kms',\n",
|
|
" 'fuel_type',\n",
|
|
" 'selling_type',\n",
|
|
" 'transmission',\n",
|
|
" #'owner',\n",
|
|
" 'age',\n",
|
|
")\n",
|
|
"\n",
|
|
"target_columns = (\n",
|
|
" 'present_price',\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"id": "f527d556",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"features_to_scale_to_standard_columns = (\n",
|
|
" 'selling_price',\n",
|
|
" 'driven_kms',\n",
|
|
" 'age',\n",
|
|
")\n",
|
|
"assert all(\n",
|
|
" (col in df_orig.select_dtypes(('number',)).columns)\n",
|
|
" for col in features_to_scale_to_standard_columns\n",
|
|
")\n",
|
|
"\n",
|
|
"features_to_encode_wrt_target_columns = (\n",
|
|
" 'fuel_type',\n",
|
|
" 'selling_type',\n",
|
|
" 'transmission',\n",
|
|
" #'owner',\n",
|
|
")\n",
|
|
"assert all(\n",
|
|
" (col in df_orig.select_dtypes(('category', 'object')).columns)\n",
|
|
" for col in features_to_encode_wrt_target_columns\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"id": "8ce8c469",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"df_orig_features = df_orig[list(feature_columns)]\n",
|
|
"df_target = df_orig[list(target_columns)]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "c82f9d7a",
|
|
"metadata": {},
|
|
"source": [
|
|
"Разделение на обучающую и тестовую выборки:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"id": "c9ba918e",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"DF_TEST_PORTION = 0.25"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 22,
|
|
"id": "0147b1d6",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"df_orig_features_train, df_orig_features_test, df_target_train, df_target_test = (\n",
|
|
" sklearn.model_selection.train_test_split(\n",
|
|
" df_orig_features, df_target, test_size=DF_TEST_PORTION, random_state=0x7AE6,\n",
|
|
" )\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "2f2e9fad",
|
|
"metadata": {},
|
|
"source": [
|
|
"Размеры обучающей и тестовой выборки соответственно:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 23,
|
|
"id": "dc58ff10",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"(224, 75)"
|
|
]
|
|
},
|
|
"execution_count": 23,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"tuple(map(len, (df_target_train, df_target_test)))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "d9ddbdc7",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Модели"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 24,
|
|
"id": "97a58917",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# XXX: один файл requirements для всех моделей\n",
|
|
"MODEL_PIP_REQUIREMENTS_PATH = BASE_PATH / 'requirements' / 'requirements-isolated-research-model.txt'"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "4639cc98",
|
|
"metadata": {},
|
|
"source": [
|
|
"Сигнатура модели для MLFlow:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 25,
|
|
"id": "a78986be",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"D:\\studying\\university\\projects\\sem_03_iis\\mpei-iis-project\\.venv\\Lib\\site-packages\\mlflow\\types\\utils.py:452: UserWarning: Hint: Inferred schema contains integer column(s). Integer columns in Python cannot represent missing values. If your input data contains missing values at inference time, it will be encoded as floats and will cause a schema enforcement error. The best way to avoid this problem is to infer the model schema based on a realistic data sample (training dataset) that includes missing values. Alternatively, you can declare integer columns as doubles (float64) whenever these columns may have missing values. See `Handling Integers With Missing Values <https://www.mlflow.org/docs/latest/models.html#handling-integers-with-missing-values>`_ for more details.\n",
|
|
" warnings.warn(\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"inputs: \n",
|
|
" ['selling_price': double (required), 'driven_kms': long (required), 'fuel_type': string (required), 'selling_type': string (required), 'transmission': string (required), 'age': double (required)]\n",
|
|
"outputs: \n",
|
|
" ['present_price': double (required)]\n",
|
|
"params: \n",
|
|
" None"
|
|
]
|
|
},
|
|
"execution_count": 25,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"mlflow_model_signature = mlflow.models.infer_signature(model_input=df_orig_features, model_output=df_target)\n",
|
|
"mlflow_model_signature"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "raw",
|
|
"id": "691d63bf",
|
|
"metadata": {
|
|
"vscode": {
|
|
"languageId": "raw"
|
|
}
|
|
},
|
|
"source": [
|
|
"input_schema = mlflow.types.schema.Schema([\n",
|
|
" mlflow.types.schema.ColSpec(\"double\", \"selling_price\"),\n",
|
|
" mlflow.types.schema.ColSpec(\"double\", \"driven_kms\"),\n",
|
|
" mlflow.types.schema.ColSpec(\"string\", \"fuel_type\"),\n",
|
|
" mlflow.types.schema.ColSpec(\"string\", \"selling_type\"),\n",
|
|
" mlflow.types.schema.ColSpec(\"string\", \"transmission\"),\n",
|
|
" mlflow.types.schema.ColSpec(\"double\", \"age\"),\n",
|
|
"])\n",
|
|
"\n",
|
|
"output_schema = mlflow.types.schema.Schema([\n",
|
|
" mlflow.types.schema.ColSpec(\"double\", \"present_price\"),\n",
|
|
"])\n",
|
|
"\n",
|
|
"mlflow_model_signature = mlflow.models.ModelSignature(inputs=input_schema, outputs=output_schema)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 26,
|
|
"id": "e014b988",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def build_features_scaler_standard():\n",
|
|
" return sklearn.preprocessing.StandardScaler()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 27,
|
|
"id": "4e513ece",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"#def build_categorical_features_encoder_onehot():\n",
|
|
"# return sklearn.preprocessing.OneHotEncoder()\n",
|
|
"\n",
|
|
"def build_categorical_features_encoder_target(*, random_state=None):\n",
|
|
" return sklearn.preprocessing.TargetEncoder(\n",
|
|
" target_type='continuous', smooth='auto', shuffle=True, random_state=random_state,\n",
|
|
" )"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "814626b7",
|
|
"metadata": {},
|
|
"source": [
|
|
"Регрессор — небольшой случайный лес, цель — минимизация квадрата ошибки предсказания:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 28,
|
|
"id": "e46bedcf",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def build_regressor(n_estimators, *, max_depth=None, max_features='sqrt', random_state=None):\n",
|
|
" return sklearn.ensemble.RandomForestRegressor(\n",
|
|
" n_estimators, criterion='squared_error',\n",
|
|
" max_depth=max_depth, max_features=max_features,\n",
|
|
" random_state=random_state,\n",
|
|
" )\n",
|
|
"\n",
|
|
"def build_regressor_baseline(*, random_state=None):\n",
|
|
" return build_regressor(10, max_depth=8, max_features='sqrt')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 29,
|
|
"id": "e3d8b2f0-e0cd-4fcf-9dd2-bd01f903b9ad",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def score_predictions(target_test, target_test_predicted):\n",
|
|
" return {\n",
|
|
" 'mse': sklearn.metrics.mean_squared_error(target_test, target_test_predicted),\n",
|
|
" 'mae': sklearn.metrics.mean_absolute_error(target_test, target_test_predicted),\n",
|
|
" 'mape': sklearn.metrics.mean_absolute_percentage_error(target_test, target_test_predicted),\n",
|
|
" }"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 30,
|
|
"id": "b62aca3d-d1c6-4075-aded-d4017bdc2129",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# использует глобальные переменные mlflow_do_log, mlflow_experiment, mlflow_root_run_name\n",
|
|
"def mlflow_log_model(\n",
|
|
" model,\n",
|
|
" model_params,\n",
|
|
" metrics,\n",
|
|
" *,\n",
|
|
" nested_run_name,\n",
|
|
" model_signature=None,\n",
|
|
" input_example=None,\n",
|
|
" pip_requirements=None,\n",
|
|
" #global_comment_file_path=None,\n",
|
|
" extra_logs_handler=None,\n",
|
|
"):\n",
|
|
" global mlflow_root_run_id\n",
|
|
" if not mlflow_do_log:\n",
|
|
" return\n",
|
|
" experiment_id = mlflow_experiment.experiment_id\n",
|
|
" start_run_root_kwargs_extra = {}\n",
|
|
" if mlflow_root_run_id is not None:\n",
|
|
" start_run_root_kwargs_extra['run_id'] = mlflow_root_run_id\n",
|
|
" else:\n",
|
|
" start_run_root_kwargs_extra['run_name'] = mlflow_root_run_name\n",
|
|
" with mlflow.start_run(experiment_id=experiment_id, **start_run_root_kwargs_extra) as root_run:\n",
|
|
" if root_run.info.status not in ('RUNNING',):\n",
|
|
" raise RuntimeError('Cannot get the root run to run')\n",
|
|
" if mlflow_root_run_id is None:\n",
|
|
" mlflow_root_run_id = root_run.info.run_id\n",
|
|
" # важно одновременно использовать nested=True и parent_run_id=...:\n",
|
|
" with mlflow.start_run(experiment_id=experiment_id, run_name=nested_run_name, nested=True, parent_run_id=mlflow_root_run_id):\n",
|
|
" if isinstance(pip_requirements, pathlib.PurePath):\n",
|
|
" pip_requirements = str(pip_requirements)\n",
|
|
" _ = mlflow.sklearn.log_model(\n",
|
|
" model,\n",
|
|
" 'model',\n",
|
|
" signature=model_signature,\n",
|
|
" input_example=input_example,\n",
|
|
" pip_requirements=pip_requirements,\n",
|
|
" )\n",
|
|
" if model_params is not None:\n",
|
|
" _ = mlflow.log_params(model_params)\n",
|
|
" if metrics is not None:\n",
|
|
" _ = mlflow.log_metrics(metrics)\n",
|
|
" #if (global_comment_file_path is not None) and global_comment_file_path.exists():\n",
|
|
" # mlflow.log_artifact(str(global_comment_file_path))\n",
|
|
" if extra_logs_handler is not None:\n",
|
|
" if callable(extra_logs_handler) and (not isinstance(extra_logs_handler, Collection)):\n",
|
|
" extra_logs_handler = (extra_logs_handler,)\n",
|
|
" for extr_logs_handler_fn in extra_logs_handler:\n",
|
|
" extr_logs_handler_fn(mlflow)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "9271ef07",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Baseline модель"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "80a5e4c5",
|
|
"metadata": {},
|
|
"source": [
|
|
"Пайплайн предобработки признаков:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 31,
|
|
"id": "869bae01",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"preprocess_transformer = sklearn.compose.ColumnTransformer(\n",
|
|
" [\n",
|
|
" ('scale_to_standard', build_features_scaler_standard(), features_to_scale_to_standard_columns),\n",
|
|
" (\n",
|
|
" #'encode_categoricals_one_hot',\n",
|
|
" 'encode_categoricals_wrt_target',\n",
|
|
" #build_categorical_features_encoder_onehot(),\n",
|
|
" build_categorical_features_encoder_target(random_state=0x2ED6),\n",
|
|
" features_to_encode_wrt_target_columns,\n",
|
|
" ),\n",
|
|
" ],\n",
|
|
" remainder='drop',\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 32,
|
|
"id": "8959cb29",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-1 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-1 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable__content {\n",
|
|
" display: none;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" display: block;\n",
|
|
" width: 100%;\n",
|
|
" overflow: visible;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-1 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-1 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-1 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-1 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-1 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table summary {\n",
|
|
" padding: .5rem;\n",
|
|
" font-family: monospace;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table details[open] {\n",
|
|
" padding-left: 0.1rem;\n",
|
|
" padding-right: 0.1rem;\n",
|
|
" padding-bottom: 0.3rem;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table {\n",
|
|
" margin-left: auto !important;\n",
|
|
" margin-right: auto !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(odd) {\n",
|
|
" background-color: #fff;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(even) {\n",
|
|
" background-color: #f6f6f6;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:hover {\n",
|
|
" background-color: #e0e0e0;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table table td {\n",
|
|
" border: 1px solid rgba(106, 105, 104, 0.232);\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td {\n",
|
|
" color:rgb(255, 94, 0);\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td.value pre {\n",
|
|
" color:rgb(255, 94, 0) !important;\n",
|
|
" background-color: transparent !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".default td {\n",
|
|
" color: black;\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td i,\n",
|
|
".default td i {\n",
|
|
" color: black;\n",
|
|
"}\n",
|
|
"\n",
|
|
".copy-paste-icon {\n",
|
|
" background-image: url(data:image/svg+xml;base64,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);\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-size: 14px 14px;\n",
|
|
" background-position: 0;\n",
|
|
" display: inline-block;\n",
|
|
" width: 14px;\n",
|
|
" height: 14px;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"</style><body><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(max_depth=8, max_features='sqrt', n_estimators=10)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>RandomForestRegressor</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_estimators',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_estimators </td>\n",
|
|
" <td class=\"value\">10</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('criterion',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">criterion </td>\n",
|
|
" <td class=\"value\">'squared_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_depth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_depth </td>\n",
|
|
" <td class=\"value\">8</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_split',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_split </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_leaf </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_weight_fraction_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_weight_fraction_leaf </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_features </td>\n",
|
|
" <td class=\"value\">'sqrt'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_leaf_nodes',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_leaf_nodes </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_impurity_decrease',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_impurity_decrease </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('bootstrap',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">bootstrap </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('oob_score',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">oob_score </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('warm_start',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">warm_start </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('ccp_alpha',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">ccp_alpha </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_samples',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_samples </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('monotonic_cst',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">monotonic_cst </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
|
|
" // Get the parameter prefix from the closest toggleable content\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
|
|
"\n",
|
|
" const originalStyle = element.style;\n",
|
|
" const computedStyle = window.getComputedStyle(element);\n",
|
|
" const originalWidth = computedStyle.width;\n",
|
|
" const originalHTML = element.innerHTML.replace('Copied!', '');\n",
|
|
"\n",
|
|
" navigator.clipboard.writeText(fullParamName)\n",
|
|
" .then(() => {\n",
|
|
" element.style.width = originalWidth;\n",
|
|
" element.style.color = 'green';\n",
|
|
" element.innerHTML = \"Copied!\";\n",
|
|
"\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" })\n",
|
|
" .catch(err => {\n",
|
|
" console.error('Failed to copy:', err);\n",
|
|
" element.style.color = 'red';\n",
|
|
" element.innerHTML = \"Failed!\";\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" });\n",
|
|
" return false;\n",
|
|
"}\n",
|
|
"\n",
|
|
"document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
|
|
"\n",
|
|
" element.setAttribute('title', fullParamName);\n",
|
|
"});\n",
|
|
"</script></body>"
|
|
],
|
|
"text/plain": [
|
|
"RandomForestRegressor(max_depth=8, max_features='sqrt', n_estimators=10)"
|
|
]
|
|
},
|
|
"execution_count": 32,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"regressor = build_regressor_baseline(random_state=0x016B)\n",
|
|
"regressor"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "cb0f1a67",
|
|
"metadata": {},
|
|
"source": [
|
|
"Составной пайплайн:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 33,
|
|
"id": "2ef69753",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-2 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-2 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable__content {\n",
|
|
" display: none;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" display: block;\n",
|
|
" width: 100%;\n",
|
|
" overflow: visible;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-2 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-2 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-2 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-2 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-2 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table summary {\n",
|
|
" padding: .5rem;\n",
|
|
" font-family: monospace;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table details[open] {\n",
|
|
" padding-left: 0.1rem;\n",
|
|
" padding-right: 0.1rem;\n",
|
|
" padding-bottom: 0.3rem;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table {\n",
|
|
" margin-left: auto !important;\n",
|
|
" margin-right: auto !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(odd) {\n",
|
|
" background-color: #fff;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(even) {\n",
|
|
" background-color: #f6f6f6;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:hover {\n",
|
|
" background-color: #e0e0e0;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table table td {\n",
|
|
" border: 1px solid rgba(106, 105, 104, 0.232);\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td {\n",
|
|
" color:rgb(255, 94, 0);\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td.value pre {\n",
|
|
" color:rgb(255, 94, 0) !important;\n",
|
|
" background-color: transparent !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".default td {\n",
|
|
" color: black;\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td i,\n",
|
|
".default td i {\n",
|
|
" color: black;\n",
|
|
"}\n",
|
|
"\n",
|
|
".copy-paste-icon {\n",
|
|
" background-image: url(data:image/svg+xml;base64,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);\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-size: 14px 14px;\n",
|
|
" background-position: 0;\n",
|
|
" display: inline-block;\n",
|
|
" width: 14px;\n",
|
|
" height: 14px;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"</style><body><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[('preprocess',\n",
|
|
" ColumnTransformer(transformers=[('scale_to_standard',\n",
|
|
" StandardScaler(),\n",
|
|
" ('selling_price',\n",
|
|
" 'driven_kms', 'age')),\n",
|
|
" ('encode_categoricals_wrt_target',\n",
|
|
" TargetEncoder(random_state=11990,\n",
|
|
" target_type='continuous'),\n",
|
|
" ('fuel_type', 'selling_type',\n",
|
|
" 'transmission'))])),\n",
|
|
" ('regress',\n",
|
|
" RandomForestRegressor(max_depth=8, max_features='sqrt',\n",
|
|
" n_estimators=10))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>Pipeline</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('steps',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">steps </td>\n",
|
|
" <td class=\"value\">[('preprocess', ...), ('regress', ...)]</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transform_input',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transform_input </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('memory',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">memory </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>preprocess: ColumnTransformer</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.compose.ColumnTransformer.html\">?<span>Documentation for preprocess: ColumnTransformer</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transformers',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transformers </td>\n",
|
|
" <td class=\"value\">[('scale_to_standard', ...), ('encode_categoricals_wrt_target', ...)]</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('remainder',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">remainder </td>\n",
|
|
" <td class=\"value\">'drop'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('sparse_threshold',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">sparse_threshold </td>\n",
|
|
" <td class=\"value\">0.3</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transformer_weights',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transformer_weights </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose_feature_names_out',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose_feature_names_out </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('force_int_remainder_cols',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">force_int_remainder_cols </td>\n",
|
|
" <td class=\"value\">'deprecated'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>scale_to_standard</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__scale_to_standard__\"><pre>('selling_price', 'driven_kms', 'age')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>StandardScaler</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__scale_to_standard__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('copy',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">copy </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_mean',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_mean </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_std',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_std </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" ><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>encode_categoricals_wrt_target</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__encode_categoricals_wrt_target__\"><pre>('fuel_type', 'selling_type', 'transmission')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>TargetEncoder</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.TargetEncoder.html\">?<span>Documentation for TargetEncoder</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__encode_categoricals_wrt_target__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('categories',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">categories </td>\n",
|
|
" <td class=\"value\">'auto'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('target_type',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">target_type </td>\n",
|
|
" <td class=\"value\">'continuous'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('smooth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">smooth </td>\n",
|
|
" <td class=\"value\">'auto'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('cv',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">cv </td>\n",
|
|
" <td class=\"value\">5</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('shuffle',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">shuffle </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">11990</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" ><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>RandomForestRegressor</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regress__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_estimators',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_estimators </td>\n",
|
|
" <td class=\"value\">10</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('criterion',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">criterion </td>\n",
|
|
" <td class=\"value\">'squared_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_depth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_depth </td>\n",
|
|
" <td class=\"value\">8</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_split',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_split </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_leaf </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_weight_fraction_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_weight_fraction_leaf </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_features </td>\n",
|
|
" <td class=\"value\">'sqrt'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_leaf_nodes',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_leaf_nodes </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_impurity_decrease',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_impurity_decrease </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('bootstrap',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">bootstrap </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('oob_score',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">oob_score </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('warm_start',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">warm_start </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('ccp_alpha',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">ccp_alpha </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_samples',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_samples </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('monotonic_cst',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">monotonic_cst </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
|
|
" // Get the parameter prefix from the closest toggleable content\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
|
|
"\n",
|
|
" const originalStyle = element.style;\n",
|
|
" const computedStyle = window.getComputedStyle(element);\n",
|
|
" const originalWidth = computedStyle.width;\n",
|
|
" const originalHTML = element.innerHTML.replace('Copied!', '');\n",
|
|
"\n",
|
|
" navigator.clipboard.writeText(fullParamName)\n",
|
|
" .then(() => {\n",
|
|
" element.style.width = originalWidth;\n",
|
|
" element.style.color = 'green';\n",
|
|
" element.innerHTML = \"Copied!\";\n",
|
|
"\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" })\n",
|
|
" .catch(err => {\n",
|
|
" console.error('Failed to copy:', err);\n",
|
|
" element.style.color = 'red';\n",
|
|
" element.innerHTML = \"Failed!\";\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" });\n",
|
|
" return false;\n",
|
|
"}\n",
|
|
"\n",
|
|
"document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
|
|
"\n",
|
|
" element.setAttribute('title', fullParamName);\n",
|
|
"});\n",
|
|
"</script></body>"
|
|
],
|
|
"text/plain": [
|
|
"Pipeline(steps=[('preprocess',\n",
|
|
" ColumnTransformer(transformers=[('scale_to_standard',\n",
|
|
" StandardScaler(),\n",
|
|
" ('selling_price',\n",
|
|
" 'driven_kms', 'age')),\n",
|
|
" ('encode_categoricals_wrt_target',\n",
|
|
" TargetEncoder(random_state=11990,\n",
|
|
" target_type='continuous'),\n",
|
|
" ('fuel_type', 'selling_type',\n",
|
|
" 'transmission'))])),\n",
|
|
" ('regress',\n",
|
|
" RandomForestRegressor(max_depth=8, max_features='sqrt',\n",
|
|
" n_estimators=10))])"
|
|
]
|
|
},
|
|
"execution_count": 33,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"pipeline = sklearn.pipeline.Pipeline([\n",
|
|
" ('preprocess', preprocess_transformer),\n",
|
|
" ('regress', regressor),\n",
|
|
"])\n",
|
|
"pipeline"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 34,
|
|
"id": "a38b50f8",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"{'preprocess__remainder': 'drop',\n",
|
|
" 'preprocess__sparse_threshold': 0.3,\n",
|
|
" 'preprocess__transformer_weights': None,\n",
|
|
" 'preprocess__scale_to_standard__with_mean': True,\n",
|
|
" 'preprocess__scale_to_standard__with_std': True,\n",
|
|
" 'regress__bootstrap': True,\n",
|
|
" 'regress__ccp_alpha': 0.0,\n",
|
|
" 'regress__criterion': 'squared_error',\n",
|
|
" 'regress__max_depth': 8,\n",
|
|
" 'regress__max_features': 'sqrt',\n",
|
|
" 'regress__max_leaf_nodes': None,\n",
|
|
" 'regress__max_samples': None,\n",
|
|
" 'regress__min_impurity_decrease': 0.0,\n",
|
|
" 'regress__min_samples_leaf': 1,\n",
|
|
" 'regress__min_samples_split': 2,\n",
|
|
" 'regress__min_weight_fraction_leaf': 0.0,\n",
|
|
" 'regress__monotonic_cst': None,\n",
|
|
" 'regress__n_estimators': 10,\n",
|
|
" 'regress__oob_score': False,\n",
|
|
" 'regress__random_state': None}"
|
|
]
|
|
},
|
|
"execution_count": 34,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"model_params = filter_params(\n",
|
|
" pipeline.get_params(),\n",
|
|
" include={\n",
|
|
" 'preprocess': (\n",
|
|
" False,\n",
|
|
" {\n",
|
|
" **{k: True for k in COLUMN_TRANSFORMER_PARAMS_COMMON_INCLUDE},\n",
|
|
" 'scale_to_standard': True,\n",
|
|
" 'encode_categorical_wrt_target': True,\n",
|
|
" },\n",
|
|
" ),\n",
|
|
" 'regress': (False, True),\n",
|
|
" },\n",
|
|
" exclude={\n",
|
|
" 'preprocess': {'scale_to_standard': STANDARD_SCALER_PARAMS_COMMON_EXCLUDE},\n",
|
|
" 'regress': RANDOM_FOREST_REGRESSOR_PARAMS_COMMON_EXCLUDE,\n",
|
|
" },\n",
|
|
")\n",
|
|
"model_params"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "4064c359",
|
|
"metadata": {},
|
|
"source": [
|
|
"Обучение модели:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 35,
|
|
"id": "9639f2f4",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"_ = pipeline.fit(df_orig_features_train, df_target_train.iloc[:, 0])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "d385bf67",
|
|
"metadata": {},
|
|
"source": [
|
|
"Оценка качества:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 36,
|
|
"id": "c15e4e08",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"target_test_predicted = pipeline.predict(df_orig_features_test)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "24e1b454",
|
|
"metadata": {},
|
|
"source": [
|
|
"Метрики качества (MAPE, а также MSE, MAE):"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 37,
|
|
"id": "ec74bb87",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"{'mse': 1.1769122812432413,\n",
|
|
" 'mae': 0.7433282022345273,\n",
|
|
" 'mape': 0.3469466962984192}"
|
|
]
|
|
},
|
|
"execution_count": 37,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"metrics = score_predictions(df_target_test, target_test_predicted)\n",
|
|
"metrics"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 38,
|
|
"id": "1f6b1ca5",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"application/vnd.jupyter.widget-view+json": {
|
|
"model_id": "9ebfedda037646158f6e4acd2cbab0e5",
|
|
"version_major": 2,
|
|
"version_minor": 0
|
|
},
|
|
"text/plain": [
|
|
"Downloading artifacts: 0%| | 0/7 [00:00<?, ?it/s]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"🏃 View run Baseline model at: http://localhost:5000/#/experiments/1/runs/76affaba12a24ee68eb979ae373eb70a\n",
|
|
"🧪 View experiment at: http://localhost:5000/#/experiments/1\n",
|
|
"🏃 View run Models at: http://localhost:5000/#/experiments/1/runs/4e4a9094cb3c4eed9d4a056a27cadcd9\n",
|
|
"🧪 View experiment at: http://localhost:5000/#/experiments/1\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"mlflow_log_model(\n",
|
|
" pipeline,\n",
|
|
" model_params=model_params,\n",
|
|
" metrics={k: float(v) for k, v in metrics.items()},\n",
|
|
" nested_run_name='Baseline model',\n",
|
|
" model_signature=mlflow_model_signature,\n",
|
|
" input_example=df_orig_features.head(MODEL_INOUT_EXAMPLE_SIZE),\n",
|
|
" pip_requirements=MODEL_PIP_REQUIREMENTS_PATH,\n",
|
|
" #global_comment_file_path=(\n",
|
|
" # model_comment_path\n",
|
|
" # if model_comment_path is not None\n",
|
|
" # else (BASE_PATH / 'research' / model_comment_relpath)\n",
|
|
" #),\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "b99512a3",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Модель с дополнительными признаками"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "9eeac54a",
|
|
"metadata": {},
|
|
"source": [
|
|
"Пайплайн предобработки признаков:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 39,
|
|
"id": "35ec0d1f",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"features_to_extend_as_polynomial = ('selling_price', 'driven_kms')\n",
|
|
"features_to_extend_as_spline = ('age',)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 40,
|
|
"id": "b54f858e",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def build_preprocess_augmenting_transformer():\n",
|
|
" assert set(features_to_extend_as_polynomial) <= {*features_to_scale_to_standard_columns}\n",
|
|
" assert set(features_to_extend_as_spline) <= {*features_to_scale_to_standard_columns}\n",
|
|
" return sklearn.compose.ColumnTransformer(\n",
|
|
" [\n",
|
|
" (\n",
|
|
" 'extend_features_as_polynomial',\n",
|
|
" sklearn.pipeline.Pipeline([\n",
|
|
" (\n",
|
|
" 'extend_features',\n",
|
|
" sklearn.preprocessing.PolynomialFeatures(2, include_bias=False),\n",
|
|
" ),\n",
|
|
" ('scale_to_standard', build_features_scaler_standard()),\n",
|
|
" ]),\n",
|
|
" features_to_extend_as_polynomial,\n",
|
|
" ),\n",
|
|
" (\n",
|
|
" 'extend_features_as_spline',\n",
|
|
" sklearn.preprocessing.SplineTransformer(\n",
|
|
" 4, knots='quantile', extrapolation='constant', include_bias=False,\n",
|
|
" ),\n",
|
|
" features_to_extend_as_spline,\n",
|
|
" ),\n",
|
|
" (\n",
|
|
" 'scale_to_standard',\n",
|
|
" build_features_scaler_standard(),\n",
|
|
" tuple(filter(lambda f: f not in features_to_extend_as_polynomial, features_to_scale_to_standard_columns)),\n",
|
|
" ),\n",
|
|
" (\n",
|
|
" 'encode_categoricals_wrt_target',\n",
|
|
" build_categorical_features_encoder_target(random_state=0x2ED6),\n",
|
|
" features_to_encode_wrt_target_columns,\n",
|
|
" ),\n",
|
|
" ],\n",
|
|
" remainder='drop',\n",
|
|
" )"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 41,
|
|
"id": "3efcf273-0732-4a03-8147-3719c9501cda",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"PREPROCESS_AUGMENTING_TRANSFORMER_PARAMS_COMMON_INCLUDE = {\n",
|
|
" **{k: True for k in COLUMN_TRANSFORMER_PARAMS_COMMON_INCLUDE},\n",
|
|
" 'extend_features_as_polynomial': {\n",
|
|
" 'extend_features': True,\n",
|
|
" 'scale_to_standard': True,\n",
|
|
" },\n",
|
|
" 'extend_features_as_spline': True,\n",
|
|
" 'scale_to_standard': True,\n",
|
|
" 'encode_categorical_wrt_target': True,\n",
|
|
"}\n",
|
|
"PREPROCESS_AUGMENTING_TRANSFORMER_PARAMS_COMMON_EXCLUDE = {\n",
|
|
" 'extend_features_as_polynomial': {\n",
|
|
" 'scale_to_standard': STANDARD_SCALER_PARAMS_COMMON_EXCLUDE,\n",
|
|
" },\n",
|
|
" 'scale_to_standard': STANDARD_SCALER_PARAMS_COMMON_EXCLUDE,\n",
|
|
"}"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 42,
|
|
"id": "5ae13a8a-f731-422e-8b22-68a9442ee419",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-3 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-3 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable__content {\n",
|
|
" display: none;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" display: block;\n",
|
|
" width: 100%;\n",
|
|
" overflow: visible;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-3 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-3 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-3 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-3 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-3 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table summary {\n",
|
|
" padding: .5rem;\n",
|
|
" font-family: monospace;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table details[open] {\n",
|
|
" padding-left: 0.1rem;\n",
|
|
" padding-right: 0.1rem;\n",
|
|
" padding-bottom: 0.3rem;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table {\n",
|
|
" margin-left: auto !important;\n",
|
|
" margin-right: auto !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(odd) {\n",
|
|
" background-color: #fff;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(even) {\n",
|
|
" background-color: #f6f6f6;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:hover {\n",
|
|
" background-color: #e0e0e0;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table table td {\n",
|
|
" border: 1px solid rgba(106, 105, 104, 0.232);\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td {\n",
|
|
" color:rgb(255, 94, 0);\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td.value pre {\n",
|
|
" color:rgb(255, 94, 0) !important;\n",
|
|
" background-color: transparent !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".default td {\n",
|
|
" color: black;\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td i,\n",
|
|
".default td i {\n",
|
|
" color: black;\n",
|
|
"}\n",
|
|
"\n",
|
|
".copy-paste-icon {\n",
|
|
" background-image: url(data:image/svg+xml;base64,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);\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-size: 14px 14px;\n",
|
|
" background-position: 0;\n",
|
|
" display: inline-block;\n",
|
|
" width: 14px;\n",
|
|
" height: 14px;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"</style><body><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>ColumnTransformer(transformers=[('extend_features_as_polynomial',\n",
|
|
" Pipeline(steps=[('extend_features',\n",
|
|
" PolynomialFeatures(include_bias=False)),\n",
|
|
" ('scale_to_standard',\n",
|
|
" StandardScaler())]),\n",
|
|
" ('selling_price', 'driven_kms')),\n",
|
|
" ('extend_features_as_spline',\n",
|
|
" SplineTransformer(include_bias=False,\n",
|
|
" knots='quantile',\n",
|
|
" n_knots=4),\n",
|
|
" ('age',)),\n",
|
|
" ('scale_to_standard', StandardScaler(),\n",
|
|
" ('age',)),\n",
|
|
" ('encode_categoricals_wrt_target',\n",
|
|
" TargetEncoder(random_state=11990,\n",
|
|
" target_type='continuous'),\n",
|
|
" ('fuel_type', 'selling_type',\n",
|
|
" 'transmission'))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" ><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>ColumnTransformer</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.compose.ColumnTransformer.html\">?<span>Documentation for ColumnTransformer</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transformers',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transformers </td>\n",
|
|
" <td class=\"value\">[('extend_features_as_polynomial', ...), ('extend_features_as_spline', ...), ...]</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('remainder',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">remainder </td>\n",
|
|
" <td class=\"value\">'drop'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('sparse_threshold',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">sparse_threshold </td>\n",
|
|
" <td class=\"value\">0.3</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transformer_weights',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transformer_weights </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose_feature_names_out',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose_feature_names_out </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('force_int_remainder_cols',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">force_int_remainder_cols </td>\n",
|
|
" <td class=\"value\">'deprecated'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-10\" type=\"checkbox\" ><label for=\"sk-estimator-id-10\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>extend_features_as_polynomial</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"extend_features_as_polynomial__\"><pre>('selling_price', 'driven_kms')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-11\" type=\"checkbox\" ><label for=\"sk-estimator-id-11\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>PolynomialFeatures</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.PolynomialFeatures.html\">?<span>Documentation for PolynomialFeatures</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"extend_features_as_polynomial__extend_features__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('degree',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">degree </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('interaction_only',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">interaction_only </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('include_bias',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">include_bias </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('order',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">order </td>\n",
|
|
" <td class=\"value\">'C'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-12\" type=\"checkbox\" ><label for=\"sk-estimator-id-12\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>StandardScaler</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"extend_features_as_polynomial__scale_to_standard__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('copy',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">copy </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_mean',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_mean </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_std',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_std </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-13\" type=\"checkbox\" ><label for=\"sk-estimator-id-13\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>extend_features_as_spline</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"extend_features_as_spline__\"><pre>('age',)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-14\" type=\"checkbox\" ><label for=\"sk-estimator-id-14\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>SplineTransformer</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.SplineTransformer.html\">?<span>Documentation for SplineTransformer</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"extend_features_as_spline__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_knots',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_knots </td>\n",
|
|
" <td class=\"value\">4</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('degree',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">degree </td>\n",
|
|
" <td class=\"value\">3</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('knots',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">knots </td>\n",
|
|
" <td class=\"value\">'quantile'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('extrapolation',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">extrapolation </td>\n",
|
|
" <td class=\"value\">'constant'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('include_bias',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">include_bias </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('order',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">order </td>\n",
|
|
" <td class=\"value\">'C'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('sparse_output',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">sparse_output </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-15\" type=\"checkbox\" ><label for=\"sk-estimator-id-15\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>scale_to_standard</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"scale_to_standard__\"><pre>('age',)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-16\" type=\"checkbox\" ><label for=\"sk-estimator-id-16\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>StandardScaler</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"scale_to_standard__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('copy',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">copy </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_mean',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_mean </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_std',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_std </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-17\" type=\"checkbox\" ><label for=\"sk-estimator-id-17\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>encode_categoricals_wrt_target</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"encode_categoricals_wrt_target__\"><pre>('fuel_type', 'selling_type', 'transmission')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-18\" type=\"checkbox\" ><label for=\"sk-estimator-id-18\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>TargetEncoder</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.TargetEncoder.html\">?<span>Documentation for TargetEncoder</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"encode_categoricals_wrt_target__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('categories',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">categories </td>\n",
|
|
" <td class=\"value\">'auto'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('target_type',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">target_type </td>\n",
|
|
" <td class=\"value\">'continuous'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('smooth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">smooth </td>\n",
|
|
" <td class=\"value\">'auto'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('cv',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">cv </td>\n",
|
|
" <td class=\"value\">5</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('shuffle',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">shuffle </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">11990</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
|
|
" // Get the parameter prefix from the closest toggleable content\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
|
|
"\n",
|
|
" const originalStyle = element.style;\n",
|
|
" const computedStyle = window.getComputedStyle(element);\n",
|
|
" const originalWidth = computedStyle.width;\n",
|
|
" const originalHTML = element.innerHTML.replace('Copied!', '');\n",
|
|
"\n",
|
|
" navigator.clipboard.writeText(fullParamName)\n",
|
|
" .then(() => {\n",
|
|
" element.style.width = originalWidth;\n",
|
|
" element.style.color = 'green';\n",
|
|
" element.innerHTML = \"Copied!\";\n",
|
|
"\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" })\n",
|
|
" .catch(err => {\n",
|
|
" console.error('Failed to copy:', err);\n",
|
|
" element.style.color = 'red';\n",
|
|
" element.innerHTML = \"Failed!\";\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" });\n",
|
|
" return false;\n",
|
|
"}\n",
|
|
"\n",
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"document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
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" const toggleableContent = element.closest('.sk-toggleable__content');\n",
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" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
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" const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
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" const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
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"\n",
|
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" element.setAttribute('title', fullParamName);\n",
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"});\n",
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"</script></body>"
|
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],
|
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"text/plain": [
|
|
"ColumnTransformer(transformers=[('extend_features_as_polynomial',\n",
|
|
" Pipeline(steps=[('extend_features',\n",
|
|
" PolynomialFeatures(include_bias=False)),\n",
|
|
" ('scale_to_standard',\n",
|
|
" StandardScaler())]),\n",
|
|
" ('selling_price', 'driven_kms')),\n",
|
|
" ('extend_features_as_spline',\n",
|
|
" SplineTransformer(include_bias=False,\n",
|
|
" knots='quantile',\n",
|
|
" n_knots=4),\n",
|
|
" ('age',)),\n",
|
|
" ('scale_to_standard', StandardScaler(),\n",
|
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" ('age',)),\n",
|
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" ('encode_categoricals_wrt_target',\n",
|
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" TargetEncoder(random_state=11990,\n",
|
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" target_type='continuous'),\n",
|
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" ('fuel_type', 'selling_type',\n",
|
|
" 'transmission'))])"
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]
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},
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"execution_count": 42,
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"metadata": {},
|
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"output_type": "execute_result"
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|
}
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],
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"source": [
|
|
"preprocess_transformer = build_preprocess_augmenting_transformer()\n",
|
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"preprocess_transformer"
|
|
]
|
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},
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{
|
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"cell_type": "markdown",
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"id": "0c041b34-bd18-4f26-b6cb-9f4567a4bc65",
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"metadata": {},
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"source": [
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"Демонстрация предобработки данных:"
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|
]
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|
},
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{
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"cell_type": "code",
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"execution_count": 43,
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"id": "df3207ab-36ea-417d-b10c-05145d6e3777",
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"metadata": {},
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"outputs": [],
|
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"source": [
|
|
"preprocess_transformer_tmp = build_preprocess_augmenting_transformer()\n",
|
|
"df_augd_features_matrix_train = preprocess_transformer_tmp.fit_transform(df_orig_features_train, df_target_train.iloc[:, 0])\n",
|
|
"df_augd_features_train = pandas_dataframe_from_transformed_artifacts(df_augd_features_matrix_train, preprocess_transformer_tmp)\n",
|
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"del preprocess_transformer_tmp"
|
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]
|
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},
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{
|
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"cell_type": "markdown",
|
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"id": "41cc8af7-56d8-4d2d-b536-cbff20bb2545",
|
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"metadata": {},
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"source": [
|
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"Обзор предобработанного датасета:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 44,
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"id": "ec3f4c72-edea-4260-9a26-9b0d57628e9e",
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"metadata": {},
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"outputs": [
|
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{
|
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"name": "stdout",
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"output_type": "stream",
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"text": [
|
|
"<class 'pandas.core.frame.DataFrame'>\n",
|
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"RangeIndex: 224 entries, 0 to 223\n",
|
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"Data columns (total 14 columns):\n",
|
|
" # Column Non-Null Count Dtype \n",
|
|
"--- ------ -------------- ----- \n",
|
|
" 0 extend_features_as_polynomial__selling_price 224 non-null float64\n",
|
|
" 1 extend_features_as_polynomial__driven_kms 224 non-null float64\n",
|
|
" 2 extend_features_as_polynomial__selling_price^2 224 non-null float64\n",
|
|
" 3 extend_features_as_polynomial__selling_price driven_kms 224 non-null float64\n",
|
|
" 4 extend_features_as_polynomial__driven_kms^2 224 non-null float64\n",
|
|
" 5 extend_features_as_spline__age_sp_0 224 non-null float64\n",
|
|
" 6 extend_features_as_spline__age_sp_1 224 non-null float64\n",
|
|
" 7 extend_features_as_spline__age_sp_2 224 non-null float64\n",
|
|
" 8 extend_features_as_spline__age_sp_3 224 non-null float64\n",
|
|
" 9 extend_features_as_spline__age_sp_4 224 non-null float64\n",
|
|
" 10 scale_to_standard__age 224 non-null float64\n",
|
|
" 11 encode_categoricals_wrt_target__fuel_type 224 non-null float64\n",
|
|
" 12 encode_categoricals_wrt_target__selling_type 224 non-null float64\n",
|
|
" 13 encode_categoricals_wrt_target__transmission 224 non-null float64\n",
|
|
"dtypes: float64(14)\n",
|
|
"memory usage: 24.6 KB\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"df_augd_features_train.info()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 45,
|
|
"id": "393d1826-963c-4479-b004-6fedf2f6dc77",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
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|
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" .dataframe tbody tr th {\n",
|
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|
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|
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|
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" .dataframe thead th {\n",
|
|
" text-align: right;\n",
|
|
" }\n",
|
|
"</style>\n",
|
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"<table border=\"1\" class=\"dataframe\">\n",
|
|
" <thead>\n",
|
|
" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
|
" <th>extend_features_as_polynomial__selling_price</th>\n",
|
|
" <th>extend_features_as_polynomial__driven_kms</th>\n",
|
|
" <th>extend_features_as_polynomial__selling_price^2</th>\n",
|
|
" <th>extend_features_as_polynomial__selling_price driven_kms</th>\n",
|
|
" <th>extend_features_as_polynomial__driven_kms^2</th>\n",
|
|
" <th>extend_features_as_spline__age_sp_0</th>\n",
|
|
" <th>extend_features_as_spline__age_sp_1</th>\n",
|
|
" <th>extend_features_as_spline__age_sp_2</th>\n",
|
|
" <th>extend_features_as_spline__age_sp_3</th>\n",
|
|
" <th>extend_features_as_spline__age_sp_4</th>\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>-0.104244</td>\n",
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|
" <td>-0.059337</td>\n",
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|
" <td>-0.160142</td>\n",
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" <td>-0.184156</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.284444</td>\n",
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" <td>0.614343</td>\n",
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" <td>0.099879</td>\n",
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" <td>0.983159</td>\n",
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|
" <td>3.418066</td>\n",
|
|
" <td>6.723044</td>\n",
|
|
" <td>4.251590</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>1</th>\n",
|
|
" <td>0.524405</td>\n",
|
|
" <td>-0.930984</td>\n",
|
|
" <td>0.023111</td>\n",
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|
" <td>-0.341051</td>\n",
|
|
" <td>-0.467047</td>\n",
|
|
" <td>0.049383</td>\n",
|
|
" <td>0.528395</td>\n",
|
|
" <td>0.417778</td>\n",
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|
" <td>0.004444</td>\n",
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|
" <td>0.000000</td>\n",
|
|
" <td>-1.141223</td>\n",
|
|
" <td>9.374655</td>\n",
|
|
" <td>6.400821</td>\n",
|
|
" <td>3.750236</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>2</th>\n",
|
|
" <td>-0.364071</td>\n",
|
|
" <td>-0.699614</td>\n",
|
|
" <td>-0.204196</td>\n",
|
|
" <td>-0.411821</td>\n",
|
|
" <td>-0.427250</td>\n",
|
|
" <td>0.006173</td>\n",
|
|
" <td>0.303549</td>\n",
|
|
" <td>0.654722</td>\n",
|
|
" <td>0.035556</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>-0.787159</td>\n",
|
|
" <td>3.313404</td>\n",
|
|
" <td>7.018116</td>\n",
|
|
" <td>4.015122</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>3</th>\n",
|
|
" <td>-0.686652</td>\n",
|
|
" <td>-0.942552</td>\n",
|
|
" <td>-0.233103</td>\n",
|
|
" <td>-0.493887</td>\n",
|
|
" <td>-0.468514</td>\n",
|
|
" <td>0.006173</td>\n",
|
|
" <td>0.303549</td>\n",
|
|
" <td>0.654722</td>\n",
|
|
" <td>0.035556</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>-0.787159</td>\n",
|
|
" <td>3.532072</td>\n",
|
|
" <td>0.673151</td>\n",
|
|
" <td>4.202766</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>4</th>\n",
|
|
" <td>-0.291407</td>\n",
|
|
" <td>0.090899</td>\n",
|
|
" <td>-0.193742</td>\n",
|
|
" <td>-0.236248</td>\n",
|
|
" <td>-0.141138</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.100000</td>\n",
|
|
" <td>0.780000</td>\n",
|
|
" <td>0.120000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>-0.433096</td>\n",
|
|
" <td>4.968111</td>\n",
|
|
" <td>7.161109</td>\n",
|
|
" <td>4.059384</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>5</th>\n",
|
|
" <td>-0.747205</td>\n",
|
|
" <td>-0.236874</td>\n",
|
|
" <td>-0.235345</td>\n",
|
|
" <td>-0.474524</td>\n",
|
|
" <td>-0.287960</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.190556</td>\n",
|
|
" <td>0.640202</td>\n",
|
|
" <td>0.164742</td>\n",
|
|
" <td>1.337222</td>\n",
|
|
" <td>3.080685</td>\n",
|
|
" <td>0.697119</td>\n",
|
|
" <td>3.750236</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>6</th>\n",
|
|
" <td>0.026771</td>\n",
|
|
" <td>1.112782</td>\n",
|
|
" <td>-0.130900</td>\n",
|
|
" <td>0.246412</td>\n",
|
|
" <td>0.572931</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.227273</td>\n",
|
|
" <td>0.606061</td>\n",
|
|
" <td>3.815667</td>\n",
|
|
" <td>3.532072</td>\n",
|
|
" <td>6.675406</td>\n",
|
|
" <td>4.202766</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>7</th>\n",
|
|
" <td>-0.180210</td>\n",
|
|
" <td>-0.066162</td>\n",
|
|
" <td>-0.174939</td>\n",
|
|
" <td>-0.219328</td>\n",
|
|
" <td>-0.216475</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.100000</td>\n",
|
|
" <td>0.780000</td>\n",
|
|
" <td>0.120000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>-0.433096</td>\n",
|
|
" <td>3.284326</td>\n",
|
|
" <td>7.161109</td>\n",
|
|
" <td>4.059384</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" extend_features_as_polynomial__selling_price \\\n",
|
|
"0 -0.104244 \n",
|
|
"1 0.524405 \n",
|
|
"2 -0.364071 \n",
|
|
"3 -0.686652 \n",
|
|
"4 -0.291407 \n",
|
|
"5 -0.747205 \n",
|
|
"6 0.026771 \n",
|
|
"7 -0.180210 \n",
|
|
"\n",
|
|
" extend_features_as_polynomial__driven_kms \\\n",
|
|
"0 -0.059337 \n",
|
|
"1 -0.930984 \n",
|
|
"2 -0.699614 \n",
|
|
"3 -0.942552 \n",
|
|
"4 0.090899 \n",
|
|
"5 -0.236874 \n",
|
|
"6 1.112782 \n",
|
|
"7 -0.066162 \n",
|
|
"\n",
|
|
" extend_features_as_polynomial__selling_price^2 \\\n",
|
|
"0 -0.160142 \n",
|
|
"1 0.023111 \n",
|
|
"2 -0.204196 \n",
|
|
"3 -0.233103 \n",
|
|
"4 -0.193742 \n",
|
|
"5 -0.235345 \n",
|
|
"6 -0.130900 \n",
|
|
"7 -0.174939 \n",
|
|
"\n",
|
|
" extend_features_as_polynomial__selling_price driven_kms \\\n",
|
|
"0 -0.184156 \n",
|
|
"1 -0.341051 \n",
|
|
"2 -0.411821 \n",
|
|
"3 -0.493887 \n",
|
|
"4 -0.236248 \n",
|
|
"5 -0.474524 \n",
|
|
"6 0.246412 \n",
|
|
"7 -0.219328 \n",
|
|
"\n",
|
|
" extend_features_as_polynomial__driven_kms^2 \\\n",
|
|
"0 -0.213392 \n",
|
|
"1 -0.467047 \n",
|
|
"2 -0.427250 \n",
|
|
"3 -0.468514 \n",
|
|
"4 -0.141138 \n",
|
|
"5 -0.287960 \n",
|
|
"6 0.572931 \n",
|
|
"7 -0.216475 \n",
|
|
"\n",
|
|
" extend_features_as_spline__age_sp_0 extend_features_as_spline__age_sp_1 \\\n",
|
|
"0 0.000000 0.000000 \n",
|
|
"1 0.049383 0.528395 \n",
|
|
"2 0.006173 0.303549 \n",
|
|
"3 0.006173 0.303549 \n",
|
|
"4 0.000000 0.100000 \n",
|
|
"5 0.000000 0.000000 \n",
|
|
"6 0.000000 0.000000 \n",
|
|
"7 0.000000 0.100000 \n",
|
|
"\n",
|
|
" extend_features_as_spline__age_sp_2 extend_features_as_spline__age_sp_3 \\\n",
|
|
"0 0.284444 0.614343 \n",
|
|
"1 0.417778 0.004444 \n",
|
|
"2 0.654722 0.035556 \n",
|
|
"3 0.654722 0.035556 \n",
|
|
"4 0.780000 0.120000 \n",
|
|
"5 0.190556 0.640202 \n",
|
|
"6 0.000000 0.227273 \n",
|
|
"7 0.780000 0.120000 \n",
|
|
"\n",
|
|
" extend_features_as_spline__age_sp_4 scale_to_standard__age \\\n",
|
|
"0 0.099879 0.983159 \n",
|
|
"1 0.000000 -1.141223 \n",
|
|
"2 0.000000 -0.787159 \n",
|
|
"3 0.000000 -0.787159 \n",
|
|
"4 0.000000 -0.433096 \n",
|
|
"5 0.164742 1.337222 \n",
|
|
"6 0.606061 3.815667 \n",
|
|
"7 0.000000 -0.433096 \n",
|
|
"\n",
|
|
" encode_categoricals_wrt_target__fuel_type \\\n",
|
|
"0 3.418066 \n",
|
|
"1 9.374655 \n",
|
|
"2 3.313404 \n",
|
|
"3 3.532072 \n",
|
|
"4 4.968111 \n",
|
|
"5 3.080685 \n",
|
|
"6 3.532072 \n",
|
|
"7 3.284326 \n",
|
|
"\n",
|
|
" encode_categoricals_wrt_target__selling_type \\\n",
|
|
"0 6.723044 \n",
|
|
"1 6.400821 \n",
|
|
"2 7.018116 \n",
|
|
"3 0.673151 \n",
|
|
"4 7.161109 \n",
|
|
"5 0.697119 \n",
|
|
"6 6.675406 \n",
|
|
"7 7.161109 \n",
|
|
"\n",
|
|
" encode_categoricals_wrt_target__transmission \n",
|
|
"0 4.251590 \n",
|
|
"1 3.750236 \n",
|
|
"2 4.015122 \n",
|
|
"3 4.202766 \n",
|
|
"4 4.059384 \n",
|
|
"5 3.750236 \n",
|
|
"6 4.202766 \n",
|
|
"7 4.059384 "
|
|
]
|
|
},
|
|
"execution_count": 45,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"df_augd_features_train.head(0x8)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 46,
|
|
"id": "2bb56d09",
|
|
"metadata": {},
|
|
"outputs": [
|
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{
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"data": {
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"text/html": [
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"<style>#sk-container-id-4 {\n",
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" /* Definition of color scheme common for light and dark mode */\n",
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" --sklearn-color-text: #000;\n",
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" --sklearn-color-text-muted: #666;\n",
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" --sklearn-color-line: gray;\n",
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" /* Definition of color scheme for unfitted estimators */\n",
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" --sklearn-color-unfitted-level-0: #fff5e6;\n",
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" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
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" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
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" --sklearn-color-unfitted-level-3: chocolate;\n",
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" /* Definition of color scheme for fitted estimators */\n",
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" --sklearn-color-fitted-level-0: #f0f8ff;\n",
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" --sklearn-color-fitted-level-1: #d4ebff;\n",
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" --sklearn-color-fitted-level-2: #b3dbfd;\n",
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" --sklearn-color-fitted-level-3: cornflowerblue;\n",
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"\n",
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" /* Specific color for light theme */\n",
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" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
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" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
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" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
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" --sklearn-color-icon: #696969;\n",
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"\n",
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" @media (prefers-color-scheme: dark) {\n",
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" /* Redefinition of color scheme for dark theme */\n",
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" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
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" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
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" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
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" --sklearn-color-icon: #878787;\n",
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" }\n",
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"}\n",
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"\n",
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"#sk-container-id-4 {\n",
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" color: var(--sklearn-color-text);\n",
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"}\n",
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"\n",
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"#sk-container-id-4 pre {\n",
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" padding: 0;\n",
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"}\n",
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"\n",
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"#sk-container-id-4 input.sk-hidden--visually {\n",
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" border: 0;\n",
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" clip: rect(1px 1px 1px 1px);\n",
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" clip: rect(1px, 1px, 1px, 1px);\n",
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" height: 1px;\n",
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" margin: -1px;\n",
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" overflow: hidden;\n",
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" padding: 0;\n",
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" position: absolute;\n",
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" width: 1px;\n",
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"}\n",
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"\n",
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"#sk-container-id-4 div.sk-dashed-wrapped {\n",
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" border: 1px dashed var(--sklearn-color-line);\n",
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" margin: 0 0.4em 0.5em 0.4em;\n",
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" box-sizing: border-box;\n",
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" padding-bottom: 0.4em;\n",
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" background-color: var(--sklearn-color-background);\n",
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"}\n",
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"\n",
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"#sk-container-id-4 div.sk-container {\n",
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" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
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" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
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" so we also need the `!important` here to be able to override the\n",
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" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
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" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
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" display: inline-block !important;\n",
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" position: relative;\n",
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"}\n",
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"\n",
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"#sk-container-id-4 div.sk-text-repr-fallback {\n",
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" display: none;\n",
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"}\n",
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"\n",
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"div.sk-parallel-item,\n",
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"div.sk-serial,\n",
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"div.sk-item {\n",
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" /* draw centered vertical line to link estimators */\n",
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" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
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" background-size: 2px 100%;\n",
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" background-repeat: no-repeat;\n",
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" background-position: center center;\n",
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"}\n",
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"\n",
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"/* Parallel-specific style estimator block */\n",
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"\n",
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"#sk-container-id-4 div.sk-parallel-item::after {\n",
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" content: \"\";\n",
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" width: 100%;\n",
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" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
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" flex-grow: 1;\n",
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"}\n",
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"\n",
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"#sk-container-id-4 div.sk-parallel {\n",
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" display: flex;\n",
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" align-items: stretch;\n",
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" justify-content: center;\n",
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" background-color: var(--sklearn-color-background);\n",
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" position: relative;\n",
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"}\n",
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"\n",
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"#sk-container-id-4 div.sk-parallel-item {\n",
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" display: flex;\n",
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" flex-direction: column;\n",
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"}\n",
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"\n",
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"#sk-container-id-4 div.sk-parallel-item:first-child::after {\n",
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" align-self: flex-end;\n",
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" width: 50%;\n",
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"}\n",
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"\n",
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"#sk-container-id-4 div.sk-parallel-item:last-child::after {\n",
|
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" align-self: flex-start;\n",
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" width: 50%;\n",
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"}\n",
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"\n",
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"#sk-container-id-4 div.sk-parallel-item:only-child::after {\n",
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" width: 0;\n",
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"}\n",
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"\n",
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"/* Serial-specific style estimator block */\n",
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"\n",
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"#sk-container-id-4 div.sk-serial {\n",
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" display: flex;\n",
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" flex-direction: column;\n",
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" align-items: center;\n",
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" background-color: var(--sklearn-color-background);\n",
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" padding-right: 1em;\n",
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" padding-left: 1em;\n",
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"}\n",
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"\n",
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"\n",
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"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
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"clickable and can be expanded/collapsed.\n",
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"- Pipeline and ColumnTransformer use this feature and define the default style\n",
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"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
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"*/\n",
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"\n",
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"/* Pipeline and ColumnTransformer style (default) */\n",
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"\n",
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"#sk-container-id-4 div.sk-toggleable {\n",
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" /* Default theme specific background. It is overwritten whether we have a\n",
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" specific estimator or a Pipeline/ColumnTransformer */\n",
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" background-color: var(--sklearn-color-background);\n",
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"}\n",
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"\n",
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"/* Toggleable label */\n",
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"#sk-container-id-4 label.sk-toggleable__label {\n",
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" cursor: pointer;\n",
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" display: flex;\n",
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" width: 100%;\n",
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" margin-bottom: 0;\n",
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" padding: 0.5em;\n",
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" box-sizing: border-box;\n",
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" text-align: center;\n",
|
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" align-items: start;\n",
|
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" justify-content: space-between;\n",
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" gap: 0.5em;\n",
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"}\n",
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"\n",
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"#sk-container-id-4 label.sk-toggleable__label .caption {\n",
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" font-size: 0.6rem;\n",
|
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" font-weight: lighter;\n",
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" color: var(--sklearn-color-text-muted);\n",
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"}\n",
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"\n",
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"#sk-container-id-4 label.sk-toggleable__label-arrow:before {\n",
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" /* Arrow on the left of the label */\n",
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" content: \"▸\";\n",
|
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" float: left;\n",
|
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" margin-right: 0.25em;\n",
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" color: var(--sklearn-color-icon);\n",
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"}\n",
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"\n",
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"#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {\n",
|
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" color: var(--sklearn-color-text);\n",
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"}\n",
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"\n",
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"/* Toggleable content - dropdown */\n",
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"\n",
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"#sk-container-id-4 div.sk-toggleable__content {\n",
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" display: none;\n",
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" text-align: left;\n",
|
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" /* unfitted */\n",
|
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" background-color: var(--sklearn-color-unfitted-level-0);\n",
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"}\n",
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"\n",
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"#sk-container-id-4 div.sk-toggleable__content.fitted {\n",
|
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" /* fitted */\n",
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" background-color: var(--sklearn-color-fitted-level-0);\n",
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"}\n",
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"\n",
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"#sk-container-id-4 div.sk-toggleable__content pre {\n",
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" margin: 0.2em;\n",
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" border-radius: 0.25em;\n",
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" color: var(--sklearn-color-text);\n",
|
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" /* unfitted */\n",
|
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" background-color: var(--sklearn-color-unfitted-level-0);\n",
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"}\n",
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"\n",
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"#sk-container-id-4 div.sk-toggleable__content.fitted pre {\n",
|
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" /* unfitted */\n",
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" background-color: var(--sklearn-color-fitted-level-0);\n",
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"}\n",
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"\n",
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"#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
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" /* Expand drop-down */\n",
|
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" display: block;\n",
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" width: 100%;\n",
|
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" overflow: visible;\n",
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"}\n",
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"\n",
|
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"#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
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" content: \"▾\";\n",
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"}\n",
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"\n",
|
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"/* Pipeline/ColumnTransformer-specific style */\n",
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"\n",
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"#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
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" color: var(--sklearn-color-text);\n",
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" background-color: var(--sklearn-color-unfitted-level-2);\n",
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"}\n",
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"\n",
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"#sk-container-id-4 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
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" background-color: var(--sklearn-color-fitted-level-2);\n",
|
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"}\n",
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"\n",
|
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"/* Estimator-specific style */\n",
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"\n",
|
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"/* Colorize estimator box */\n",
|
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"#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
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" /* unfitted */\n",
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" background-color: var(--sklearn-color-unfitted-level-2);\n",
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"}\n",
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"\n",
|
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"#sk-container-id-4 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
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" /* fitted */\n",
|
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" background-color: var(--sklearn-color-fitted-level-2);\n",
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"}\n",
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"\n",
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"#sk-container-id-4 div.sk-label label.sk-toggleable__label,\n",
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"#sk-container-id-4 div.sk-label label {\n",
|
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" /* The background is the default theme color */\n",
|
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" color: var(--sklearn-color-text-on-default-background);\n",
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"}\n",
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"\n",
|
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"/* On hover, darken the color of the background */\n",
|
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"#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {\n",
|
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" color: var(--sklearn-color-text);\n",
|
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" background-color: var(--sklearn-color-unfitted-level-2);\n",
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"}\n",
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"\n",
|
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"/* Label box, darken color on hover, fitted */\n",
|
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"#sk-container-id-4 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
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" color: var(--sklearn-color-text);\n",
|
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" background-color: var(--sklearn-color-fitted-level-2);\n",
|
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"}\n",
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"\n",
|
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"/* Estimator label */\n",
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"\n",
|
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"#sk-container-id-4 div.sk-label label {\n",
|
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" font-family: monospace;\n",
|
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" font-weight: bold;\n",
|
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" display: inline-block;\n",
|
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" line-height: 1.2em;\n",
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"}\n",
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"\n",
|
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"#sk-container-id-4 div.sk-label-container {\n",
|
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" text-align: center;\n",
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"}\n",
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"\n",
|
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"/* Estimator-specific */\n",
|
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"#sk-container-id-4 div.sk-estimator {\n",
|
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" font-family: monospace;\n",
|
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" border: 1px dotted var(--sklearn-color-border-box);\n",
|
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" border-radius: 0.25em;\n",
|
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" box-sizing: border-box;\n",
|
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" margin-bottom: 0.5em;\n",
|
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" /* unfitted */\n",
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" background-color: var(--sklearn-color-unfitted-level-0);\n",
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"}\n",
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"\n",
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"#sk-container-id-4 div.sk-estimator.fitted {\n",
|
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" /* fitted */\n",
|
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" background-color: var(--sklearn-color-fitted-level-0);\n",
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"}\n",
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"\n",
|
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"/* on hover */\n",
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"#sk-container-id-4 div.sk-estimator:hover {\n",
|
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" /* unfitted */\n",
|
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" background-color: var(--sklearn-color-unfitted-level-2);\n",
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"}\n",
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"\n",
|
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"#sk-container-id-4 div.sk-estimator.fitted:hover {\n",
|
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" /* fitted */\n",
|
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" background-color: var(--sklearn-color-fitted-level-2);\n",
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"}\n",
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"\n",
|
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"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
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"\n",
|
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"/* Common style for \"i\" and \"?\" */\n",
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"\n",
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".sk-estimator-doc-link,\n",
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"a:link.sk-estimator-doc-link,\n",
|
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"a:visited.sk-estimator-doc-link {\n",
|
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" float: right;\n",
|
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" font-size: smaller;\n",
|
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" line-height: 1em;\n",
|
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" font-family: monospace;\n",
|
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" background-color: var(--sklearn-color-background);\n",
|
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" border-radius: 1em;\n",
|
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" height: 1em;\n",
|
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" width: 1em;\n",
|
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" text-decoration: none !important;\n",
|
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" margin-left: 0.5em;\n",
|
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" text-align: center;\n",
|
|
" /* unfitted */\n",
|
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" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
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" color: var(--sklearn-color-unfitted-level-1);\n",
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"}\n",
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"\n",
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".sk-estimator-doc-link.fitted,\n",
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"a:link.sk-estimator-doc-link.fitted,\n",
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"a:visited.sk-estimator-doc-link.fitted {\n",
|
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" /* fitted */\n",
|
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" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
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" color: var(--sklearn-color-fitted-level-1);\n",
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"}\n",
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"\n",
|
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"/* On hover */\n",
|
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"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
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" color: var(--sklearn-color-background);\n",
|
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" text-decoration: none;\n",
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"}\n",
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"\n",
|
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"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
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".sk-estimator-doc-link.fitted:hover,\n",
|
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"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
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" /* fitted */\n",
|
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" background-color: var(--sklearn-color-fitted-level-3);\n",
|
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" color: var(--sklearn-color-background);\n",
|
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" text-decoration: none;\n",
|
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"}\n",
|
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"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
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" position: relative;\n",
|
|
" font-weight: normal;\n",
|
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" right: .2ex;\n",
|
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" padding: .5ex;\n",
|
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" margin: .5ex;\n",
|
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" width: min-content;\n",
|
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" min-width: 20ex;\n",
|
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" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
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" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
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" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
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"}\n",
|
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"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
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" border: var(--sklearn-color-fitted-level-3);\n",
|
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"}\n",
|
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"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
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"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
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"#sk-container-id-4 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
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" line-height: 1em;\n",
|
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" font-family: monospace;\n",
|
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" background-color: var(--sklearn-color-background);\n",
|
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" border-radius: 1rem;\n",
|
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" height: 1rem;\n",
|
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" width: 1rem;\n",
|
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" text-decoration: none;\n",
|
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" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
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" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
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"}\n",
|
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"\n",
|
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"#sk-container-id-4 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
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" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-4 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table summary {\n",
|
|
" padding: .5rem;\n",
|
|
" font-family: monospace;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table details[open] {\n",
|
|
" padding-left: 0.1rem;\n",
|
|
" padding-right: 0.1rem;\n",
|
|
" padding-bottom: 0.3rem;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table {\n",
|
|
" margin-left: auto !important;\n",
|
|
" margin-right: auto !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(odd) {\n",
|
|
" background-color: #fff;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(even) {\n",
|
|
" background-color: #f6f6f6;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:hover {\n",
|
|
" background-color: #e0e0e0;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table table td {\n",
|
|
" border: 1px solid rgba(106, 105, 104, 0.232);\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td {\n",
|
|
" color:rgb(255, 94, 0);\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td.value pre {\n",
|
|
" color:rgb(255, 94, 0) !important;\n",
|
|
" background-color: transparent !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".default td {\n",
|
|
" color: black;\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td i,\n",
|
|
".default td i {\n",
|
|
" color: black;\n",
|
|
"}\n",
|
|
"\n",
|
|
".copy-paste-icon {\n",
|
|
" background-image: url(data:image/svg+xml;base64,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);\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-size: 14px 14px;\n",
|
|
" background-position: 0;\n",
|
|
" display: inline-block;\n",
|
|
" width: 14px;\n",
|
|
" height: 14px;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"</style><body><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(max_depth=8, max_features='sqrt', n_estimators=10)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-19\" type=\"checkbox\" checked><label for=\"sk-estimator-id-19\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>RandomForestRegressor</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_estimators',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_estimators </td>\n",
|
|
" <td class=\"value\">10</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('criterion',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">criterion </td>\n",
|
|
" <td class=\"value\">'squared_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_depth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_depth </td>\n",
|
|
" <td class=\"value\">8</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_split',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_split </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_leaf </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_weight_fraction_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_weight_fraction_leaf </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_features </td>\n",
|
|
" <td class=\"value\">'sqrt'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_leaf_nodes',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_leaf_nodes </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_impurity_decrease',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_impurity_decrease </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('bootstrap',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">bootstrap </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('oob_score',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">oob_score </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('warm_start',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">warm_start </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('ccp_alpha',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">ccp_alpha </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_samples',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_samples </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('monotonic_cst',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">monotonic_cst </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
|
|
" // Get the parameter prefix from the closest toggleable content\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
|
|
"\n",
|
|
" const originalStyle = element.style;\n",
|
|
" const computedStyle = window.getComputedStyle(element);\n",
|
|
" const originalWidth = computedStyle.width;\n",
|
|
" const originalHTML = element.innerHTML.replace('Copied!', '');\n",
|
|
"\n",
|
|
" navigator.clipboard.writeText(fullParamName)\n",
|
|
" .then(() => {\n",
|
|
" element.style.width = originalWidth;\n",
|
|
" element.style.color = 'green';\n",
|
|
" element.innerHTML = \"Copied!\";\n",
|
|
"\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" })\n",
|
|
" .catch(err => {\n",
|
|
" console.error('Failed to copy:', err);\n",
|
|
" element.style.color = 'red';\n",
|
|
" element.innerHTML = \"Failed!\";\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" });\n",
|
|
" return false;\n",
|
|
"}\n",
|
|
"\n",
|
|
"document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
|
|
"\n",
|
|
" element.setAttribute('title', fullParamName);\n",
|
|
"});\n",
|
|
"</script></body>"
|
|
],
|
|
"text/plain": [
|
|
"RandomForestRegressor(max_depth=8, max_features='sqrt', n_estimators=10)"
|
|
]
|
|
},
|
|
"execution_count": 46,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"regressor = build_regressor_baseline(random_state=0x3AEF)\n",
|
|
"regressor"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "dd34c150",
|
|
"metadata": {},
|
|
"source": [
|
|
"Составной пайплайн:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 47,
|
|
"id": "ff9d2a85",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-5 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-5 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-toggleable__content {\n",
|
|
" display: none;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" display: block;\n",
|
|
" width: 100%;\n",
|
|
" overflow: visible;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-5 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-5 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-5 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-5 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-5 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-5 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table summary {\n",
|
|
" padding: .5rem;\n",
|
|
" font-family: monospace;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table details[open] {\n",
|
|
" padding-left: 0.1rem;\n",
|
|
" padding-right: 0.1rem;\n",
|
|
" padding-bottom: 0.3rem;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table {\n",
|
|
" margin-left: auto !important;\n",
|
|
" margin-right: auto !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(odd) {\n",
|
|
" background-color: #fff;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(even) {\n",
|
|
" background-color: #f6f6f6;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:hover {\n",
|
|
" background-color: #e0e0e0;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table table td {\n",
|
|
" border: 1px solid rgba(106, 105, 104, 0.232);\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td {\n",
|
|
" color:rgb(255, 94, 0);\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td.value pre {\n",
|
|
" color:rgb(255, 94, 0) !important;\n",
|
|
" background-color: transparent !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".default td {\n",
|
|
" color: black;\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td i,\n",
|
|
".default td i {\n",
|
|
" color: black;\n",
|
|
"}\n",
|
|
"\n",
|
|
".copy-paste-icon {\n",
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" background-image: url(data:image/svg+xml;base64,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);\n",
|
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" background-repeat: no-repeat;\n",
|
|
" background-size: 14px 14px;\n",
|
|
" background-position: 0;\n",
|
|
" display: inline-block;\n",
|
|
" width: 14px;\n",
|
|
" height: 14px;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"</style><body><div id=\"sk-container-id-5\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[('preprocess',\n",
|
|
" ColumnTransformer(transformers=[('extend_features_as_polynomial',\n",
|
|
" Pipeline(steps=[('extend_features',\n",
|
|
" PolynomialFeatures(include_bias=False)),\n",
|
|
" ('scale_to_standard',\n",
|
|
" StandardScaler())]),\n",
|
|
" ('selling_price',\n",
|
|
" 'driven_kms')),\n",
|
|
" ('extend_features_as_spline',\n",
|
|
" SplineTransformer(include_bias=False,\n",
|
|
" knots='quantile',\n",
|
|
" n_knots=4),\n",
|
|
" ('age',)),\n",
|
|
" ('scale_to_standard',\n",
|
|
" StandardScaler(), ('age',)),\n",
|
|
" ('encode_categoricals_wrt_target',\n",
|
|
" TargetEncoder(random_state=11990,\n",
|
|
" target_type='continuous'),\n",
|
|
" ('fuel_type', 'selling_type',\n",
|
|
" 'transmission'))])),\n",
|
|
" ('regress',\n",
|
|
" RandomForestRegressor(max_depth=8, max_features='sqrt',\n",
|
|
" n_estimators=10))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-20\" type=\"checkbox\" ><label for=\"sk-estimator-id-20\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>Pipeline</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('steps',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">steps </td>\n",
|
|
" <td class=\"value\">[('preprocess', ...), ('regress', ...)]</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transform_input',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transform_input </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('memory',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">memory </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-21\" type=\"checkbox\" ><label for=\"sk-estimator-id-21\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>preprocess: ColumnTransformer</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.compose.ColumnTransformer.html\">?<span>Documentation for preprocess: ColumnTransformer</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transformers',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transformers </td>\n",
|
|
" <td class=\"value\">[('extend_features_as_polynomial', ...), ('extend_features_as_spline', ...), ...]</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('remainder',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">remainder </td>\n",
|
|
" <td class=\"value\">'drop'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('sparse_threshold',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">sparse_threshold </td>\n",
|
|
" <td class=\"value\">0.3</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transformer_weights',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transformer_weights </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose_feature_names_out',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose_feature_names_out </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('force_int_remainder_cols',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">force_int_remainder_cols </td>\n",
|
|
" <td class=\"value\">'deprecated'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-22\" type=\"checkbox\" ><label for=\"sk-estimator-id-22\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>extend_features_as_polynomial</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_polynomial__\"><pre>('selling_price', 'driven_kms')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-23\" type=\"checkbox\" ><label for=\"sk-estimator-id-23\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>PolynomialFeatures</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.PolynomialFeatures.html\">?<span>Documentation for PolynomialFeatures</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_polynomial__extend_features__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('degree',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">degree </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('interaction_only',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">interaction_only </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('include_bias',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">include_bias </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('order',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">order </td>\n",
|
|
" <td class=\"value\">'C'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-24\" type=\"checkbox\" ><label for=\"sk-estimator-id-24\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>StandardScaler</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_polynomial__scale_to_standard__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('copy',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">copy </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_mean',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_mean </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_std',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_std </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-25\" type=\"checkbox\" ><label for=\"sk-estimator-id-25\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>extend_features_as_spline</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_spline__\"><pre>('age',)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-26\" type=\"checkbox\" ><label for=\"sk-estimator-id-26\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>SplineTransformer</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.SplineTransformer.html\">?<span>Documentation for SplineTransformer</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_spline__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_knots',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_knots </td>\n",
|
|
" <td class=\"value\">4</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('degree',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">degree </td>\n",
|
|
" <td class=\"value\">3</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('knots',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">knots </td>\n",
|
|
" <td class=\"value\">'quantile'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('extrapolation',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">extrapolation </td>\n",
|
|
" <td class=\"value\">'constant'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('include_bias',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">include_bias </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('order',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">order </td>\n",
|
|
" <td class=\"value\">'C'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('sparse_output',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">sparse_output </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-27\" type=\"checkbox\" ><label for=\"sk-estimator-id-27\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>scale_to_standard</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__scale_to_standard__\"><pre>('age',)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-28\" type=\"checkbox\" ><label for=\"sk-estimator-id-28\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>StandardScaler</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__scale_to_standard__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('copy',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">copy </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_mean',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_mean </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_std',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_std </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-29\" type=\"checkbox\" ><label for=\"sk-estimator-id-29\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>encode_categoricals_wrt_target</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__encode_categoricals_wrt_target__\"><pre>('fuel_type', 'selling_type', 'transmission')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-30\" type=\"checkbox\" ><label for=\"sk-estimator-id-30\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>TargetEncoder</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.TargetEncoder.html\">?<span>Documentation for TargetEncoder</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__encode_categoricals_wrt_target__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('categories',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">categories </td>\n",
|
|
" <td class=\"value\">'auto'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('target_type',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">target_type </td>\n",
|
|
" <td class=\"value\">'continuous'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('smooth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">smooth </td>\n",
|
|
" <td class=\"value\">'auto'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('cv',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">cv </td>\n",
|
|
" <td class=\"value\">5</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('shuffle',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">shuffle </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">11990</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-31\" type=\"checkbox\" ><label for=\"sk-estimator-id-31\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>RandomForestRegressor</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regress__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_estimators',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_estimators </td>\n",
|
|
" <td class=\"value\">10</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('criterion',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">criterion </td>\n",
|
|
" <td class=\"value\">'squared_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_depth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_depth </td>\n",
|
|
" <td class=\"value\">8</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_split',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_split </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_leaf </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_weight_fraction_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_weight_fraction_leaf </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_features </td>\n",
|
|
" <td class=\"value\">'sqrt'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_leaf_nodes',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_leaf_nodes </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_impurity_decrease',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_impurity_decrease </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('bootstrap',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">bootstrap </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('oob_score',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">oob_score </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('warm_start',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">warm_start </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('ccp_alpha',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">ccp_alpha </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_samples',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_samples </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('monotonic_cst',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">monotonic_cst </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
|
|
" // Get the parameter prefix from the closest toggleable content\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
|
|
"\n",
|
|
" const originalStyle = element.style;\n",
|
|
" const computedStyle = window.getComputedStyle(element);\n",
|
|
" const originalWidth = computedStyle.width;\n",
|
|
" const originalHTML = element.innerHTML.replace('Copied!', '');\n",
|
|
"\n",
|
|
" navigator.clipboard.writeText(fullParamName)\n",
|
|
" .then(() => {\n",
|
|
" element.style.width = originalWidth;\n",
|
|
" element.style.color = 'green';\n",
|
|
" element.innerHTML = \"Copied!\";\n",
|
|
"\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" })\n",
|
|
" .catch(err => {\n",
|
|
" console.error('Failed to copy:', err);\n",
|
|
" element.style.color = 'red';\n",
|
|
" element.innerHTML = \"Failed!\";\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" });\n",
|
|
" return false;\n",
|
|
"}\n",
|
|
"\n",
|
|
"document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
|
|
"\n",
|
|
" element.setAttribute('title', fullParamName);\n",
|
|
"});\n",
|
|
"</script></body>"
|
|
],
|
|
"text/plain": [
|
|
"Pipeline(steps=[('preprocess',\n",
|
|
" ColumnTransformer(transformers=[('extend_features_as_polynomial',\n",
|
|
" Pipeline(steps=[('extend_features',\n",
|
|
" PolynomialFeatures(include_bias=False)),\n",
|
|
" ('scale_to_standard',\n",
|
|
" StandardScaler())]),\n",
|
|
" ('selling_price',\n",
|
|
" 'driven_kms')),\n",
|
|
" ('extend_features_as_spline',\n",
|
|
" SplineTransformer(include_bias=False,\n",
|
|
" knots='quantile',\n",
|
|
" n_knots=4),\n",
|
|
" ('age',)),\n",
|
|
" ('scale_to_standard',\n",
|
|
" StandardScaler(), ('age',)),\n",
|
|
" ('encode_categoricals_wrt_target',\n",
|
|
" TargetEncoder(random_state=11990,\n",
|
|
" target_type='continuous'),\n",
|
|
" ('fuel_type', 'selling_type',\n",
|
|
" 'transmission'))])),\n",
|
|
" ('regress',\n",
|
|
" RandomForestRegressor(max_depth=8, max_features='sqrt',\n",
|
|
" n_estimators=10))])"
|
|
]
|
|
},
|
|
"execution_count": 47,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"pipeline = sklearn.pipeline.Pipeline([\n",
|
|
" ('preprocess', preprocess_transformer),\n",
|
|
" ('regress', regressor),\n",
|
|
"])\n",
|
|
"pipeline"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 48,
|
|
"id": "eec22b97",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"{'preprocess__remainder': 'drop',\n",
|
|
" 'preprocess__sparse_threshold': 0.3,\n",
|
|
" 'preprocess__transformer_weights': None,\n",
|
|
" 'preprocess__extend_features_as_spline': SplineTransformer(include_bias=False, knots='quantile', n_knots=4),\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features': PolynomialFeatures(include_bias=False),\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__degree': 2,\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__include_bias': False,\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__interaction_only': False,\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__order': 'C',\n",
|
|
" 'preprocess__extend_features_as_polynomial__scale_to_standard__with_mean': True,\n",
|
|
" 'preprocess__extend_features_as_polynomial__scale_to_standard__with_std': True,\n",
|
|
" 'preprocess__extend_features_as_spline__degree': 3,\n",
|
|
" 'preprocess__extend_features_as_spline__extrapolation': 'constant',\n",
|
|
" 'preprocess__extend_features_as_spline__include_bias': False,\n",
|
|
" 'preprocess__extend_features_as_spline__knots': 'quantile',\n",
|
|
" 'preprocess__extend_features_as_spline__n_knots': 4,\n",
|
|
" 'preprocess__extend_features_as_spline__order': 'C',\n",
|
|
" 'preprocess__extend_features_as_spline__sparse_output': False,\n",
|
|
" 'preprocess__scale_to_standard__with_mean': True,\n",
|
|
" 'preprocess__scale_to_standard__with_std': True,\n",
|
|
" 'regress__bootstrap': True,\n",
|
|
" 'regress__ccp_alpha': 0.0,\n",
|
|
" 'regress__criterion': 'squared_error',\n",
|
|
" 'regress__max_depth': 8,\n",
|
|
" 'regress__max_features': 'sqrt',\n",
|
|
" 'regress__max_leaf_nodes': None,\n",
|
|
" 'regress__max_samples': None,\n",
|
|
" 'regress__min_impurity_decrease': 0.0,\n",
|
|
" 'regress__min_samples_leaf': 1,\n",
|
|
" 'regress__min_samples_split': 2,\n",
|
|
" 'regress__min_weight_fraction_leaf': 0.0,\n",
|
|
" 'regress__monotonic_cst': None,\n",
|
|
" 'regress__n_estimators': 10,\n",
|
|
" 'regress__oob_score': False,\n",
|
|
" 'regress__random_state': None}"
|
|
]
|
|
},
|
|
"execution_count": 48,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"model_params = filter_params(\n",
|
|
" pipeline.get_params(),\n",
|
|
" include={\n",
|
|
" 'preprocess': (False, PREPROCESS_AUGMENTING_TRANSFORMER_PARAMS_COMMON_INCLUDE.copy()),\n",
|
|
" 'regress': (False, True),\n",
|
|
" },\n",
|
|
" exclude={\n",
|
|
" 'preprocess': PREPROCESS_AUGMENTING_TRANSFORMER_PARAMS_COMMON_EXCLUDE.copy(),\n",
|
|
" 'regress': RANDOM_FOREST_REGRESSOR_PARAMS_COMMON_EXCLUDE,\n",
|
|
" },\n",
|
|
")\n",
|
|
"model_params"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "23519fd3",
|
|
"metadata": {},
|
|
"source": [
|
|
"Обучение модели:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 49,
|
|
"id": "95f8079b",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"_ = pipeline.fit(df_orig_features_train, df_target_train.iloc[:, 0])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "5627ba08-b0a9-4316-a4a9-630047cec1cc",
|
|
"metadata": {},
|
|
"source": [
|
|
"Оценка качества:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 50,
|
|
"id": "a88ccce4-cb32-4810-982e-9b126778d611",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"target_test_predicted = pipeline.predict(df_orig_features_test)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "5cef4314-5872-4f6e-9355-316c0419158a",
|
|
"metadata": {},
|
|
"source": [
|
|
"Метрики качества (MAPE, а также MSE, MAE):"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 51,
|
|
"id": "bfd94c07-05ec-45c9-b49e-ddf861d39d06",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"{'mse': 1.5006829920671902,\n",
|
|
" 'mae': 0.7582020656775502,\n",
|
|
" 'mape': 0.30794862210624835}"
|
|
]
|
|
},
|
|
"execution_count": 51,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"metrics = score_predictions(df_target_test, target_test_predicted)\n",
|
|
"metrics"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 52,
|
|
"id": "80b5ab1d-234c-4b18-98a6-eef0520677ec",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"application/vnd.jupyter.widget-view+json": {
|
|
"model_id": "5821a1adbbe242a882fed4dd765843c8",
|
|
"version_major": 2,
|
|
"version_minor": 0
|
|
},
|
|
"text/plain": [
|
|
"Downloading artifacts: 0%| | 0/7 [00:00<?, ?it/s]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"🏃 View run Model with engineered features at: http://localhost:5000/#/experiments/1/runs/4c056d60749f459196e55711971a0525\n",
|
|
"🧪 View experiment at: http://localhost:5000/#/experiments/1\n",
|
|
"🏃 View run Models at: http://localhost:5000/#/experiments/1/runs/4e4a9094cb3c4eed9d4a056a27cadcd9\n",
|
|
"🧪 View experiment at: http://localhost:5000/#/experiments/1\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"mlflow_log_model(\n",
|
|
" pipeline,\n",
|
|
" model_params=model_params,\n",
|
|
" metrics={k: float(v) for k, v in metrics.items()},\n",
|
|
" nested_run_name='Model with engineered features',\n",
|
|
" model_signature=mlflow_model_signature,\n",
|
|
" input_example=df_orig_features.head(MODEL_INOUT_EXAMPLE_SIZE),\n",
|
|
" pip_requirements=MODEL_PIP_REQUIREMENTS_PATH,\n",
|
|
" #global_comment_file_path=(\n",
|
|
" # model_comment_path\n",
|
|
" # if model_comment_path is not None\n",
|
|
" # else (BASE_PATH / 'research' / model_comment_relpath)\n",
|
|
" #),\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "33de35ae-efa2-4869-9e08-07f0a8e5a90c",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Модель с дополнительными и отфильтрованными признаками"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 53,
|
|
"id": "480883db-56e4-483b-80aa-2b21ebfe4e06",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def build_selected_columns_info_for_mlflow(names=None, indices=None):\n",
|
|
" info = {}\n",
|
|
" if names is not None:\n",
|
|
" info['names'] = names\n",
|
|
" if indices is not None:\n",
|
|
" info['indices'] = indices\n",
|
|
" return info\n",
|
|
"\n",
|
|
"def build_extra_logs_handler_selected_columns(names=None, indices=None):\n",
|
|
" def extra_log(mlf):\n",
|
|
" if any((v is not None) for v in (names, indices)):\n",
|
|
" info = build_selected_columns_info_for_mlflow(names=names, indices=indices)\n",
|
|
" mlf.log_dict(info, 'selected_columns_info.json')\n",
|
|
" return extra_log"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 54,
|
|
"id": "a1b41ba4-3ae2-43d6-8f03-09db05d2eaa0",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def build_selected_columns_info_for_mlflow_from_sequential_feature_selector(feature_selector, *, take_names=True, take_indices=True):\n",
|
|
" return build_selected_columns_info_for_mlflow(\n",
|
|
" names=(feature_selector.k_feature_names_ if take_names else None),\n",
|
|
" indices=(tuple(feature_selector.k_feature_idx_) if take_indices else None),\n",
|
|
" )\n",
|
|
"\n",
|
|
"def build_extra_logs_handler_selected_columns_from_sequential_feature_selector(feature_selector):\n",
|
|
" def extra_log(mlf):\n",
|
|
" info = build_selected_columns_info_for_mlflow_from_sequential_feature_selector(feature_selector)\n",
|
|
" mlf.log_dict(info, 'selected_columns_info.json')\n",
|
|
" return extra_log"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 55,
|
|
"id": "e8c2397a-6081-422b-a3e3-40fdf7c015ec",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-6 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-6 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-toggleable__content {\n",
|
|
" display: none;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" display: block;\n",
|
|
" width: 100%;\n",
|
|
" overflow: visible;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-6 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-6 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-6 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-6 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-6 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-6 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-6 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-6 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-6 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table summary {\n",
|
|
" padding: .5rem;\n",
|
|
" font-family: monospace;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table details[open] {\n",
|
|
" padding-left: 0.1rem;\n",
|
|
" padding-right: 0.1rem;\n",
|
|
" padding-bottom: 0.3rem;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table {\n",
|
|
" margin-left: auto !important;\n",
|
|
" margin-right: auto !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(odd) {\n",
|
|
" background-color: #fff;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(even) {\n",
|
|
" background-color: #f6f6f6;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:hover {\n",
|
|
" background-color: #e0e0e0;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table table td {\n",
|
|
" border: 1px solid rgba(106, 105, 104, 0.232);\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td {\n",
|
|
" color:rgb(255, 94, 0);\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td.value pre {\n",
|
|
" color:rgb(255, 94, 0) !important;\n",
|
|
" background-color: transparent !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".default td {\n",
|
|
" color: black;\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td i,\n",
|
|
".default td i {\n",
|
|
" color: black;\n",
|
|
"}\n",
|
|
"\n",
|
|
".copy-paste-icon {\n",
|
|
" background-image: url(data:image/svg+xml;base64,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);\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-size: 14px 14px;\n",
|
|
" background-position: 0;\n",
|
|
" display: inline-block;\n",
|
|
" width: 14px;\n",
|
|
" height: 14px;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"</style><body><div id=\"sk-container-id-6\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(max_depth=8, max_features='sqrt', n_estimators=10)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-32\" type=\"checkbox\" checked><label for=\"sk-estimator-id-32\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>RandomForestRegressor</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_estimators',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_estimators </td>\n",
|
|
" <td class=\"value\">10</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('criterion',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">criterion </td>\n",
|
|
" <td class=\"value\">'squared_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_depth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_depth </td>\n",
|
|
" <td class=\"value\">8</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_split',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_split </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_leaf </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_weight_fraction_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_weight_fraction_leaf </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_features </td>\n",
|
|
" <td class=\"value\">'sqrt'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_leaf_nodes',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_leaf_nodes </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_impurity_decrease',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_impurity_decrease </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('bootstrap',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">bootstrap </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('oob_score',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">oob_score </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('warm_start',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">warm_start </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('ccp_alpha',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">ccp_alpha </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_samples',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_samples </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('monotonic_cst',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">monotonic_cst </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
|
|
" // Get the parameter prefix from the closest toggleable content\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
|
|
"\n",
|
|
" const originalStyle = element.style;\n",
|
|
" const computedStyle = window.getComputedStyle(element);\n",
|
|
" const originalWidth = computedStyle.width;\n",
|
|
" const originalHTML = element.innerHTML.replace('Copied!', '');\n",
|
|
"\n",
|
|
" navigator.clipboard.writeText(fullParamName)\n",
|
|
" .then(() => {\n",
|
|
" element.style.width = originalWidth;\n",
|
|
" element.style.color = 'green';\n",
|
|
" element.innerHTML = \"Copied!\";\n",
|
|
"\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" })\n",
|
|
" .catch(err => {\n",
|
|
" console.error('Failed to copy:', err);\n",
|
|
" element.style.color = 'red';\n",
|
|
" element.innerHTML = \"Failed!\";\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" });\n",
|
|
" return false;\n",
|
|
"}\n",
|
|
"\n",
|
|
"document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
|
|
"\n",
|
|
" element.setAttribute('title', fullParamName);\n",
|
|
"});\n",
|
|
"</script></body>"
|
|
],
|
|
"text/plain": [
|
|
"RandomForestRegressor(max_depth=8, max_features='sqrt', n_estimators=10)"
|
|
]
|
|
},
|
|
"execution_count": 55,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"regressor = build_regressor_baseline(random_state=0x8EDD)\n",
|
|
"regressor"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "36ebb8f4-bb00-4d20-82e8-940a8798f4b1",
|
|
"metadata": {},
|
|
"source": [
|
|
"Выбор признаков среди дополненного набора по минимизации MAPE:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 56,
|
|
"id": "3cc243e6-f4e0-4b03-a4f2-8e8e4835466a",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"14"
|
|
]
|
|
},
|
|
"execution_count": 56,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"len(df_augd_features_train.columns)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 57,
|
|
"id": "9c5645b1-e052-43a8-9766-9ed7e62f7ebc",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"FILTERED_FEATURES_NUM = (4, 8)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 58,
|
|
"id": "8e897be5-ba9a-427a-9c36-dd1cdfa2727e",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def build_feature_selector(*, verbose=0):\n",
|
|
" return build_sequential_feature_selector(\n",
|
|
" regressor, k_features=FILTERED_FEATURES_NUM, forward=True, floating=True, cv=4, scoring='neg_mean_absolute_percentage_error',\n",
|
|
" verbose=verbose,\n",
|
|
" )"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 59,
|
|
"id": "e2294a0a-5a8d-4daf-aa55-c099dd5085d0",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"FEATURE_SELECTOR_PARAMS_COMMON_INCLUDE = {\n",
|
|
" **{k: True for k in SEQUENTIAL_FEATURE_SELECTOR_PARAMS_COMMON_INCLUDE},\n",
|
|
" 'estimator': False,\n",
|
|
"}\n",
|
|
"FEATURE_SELECTOR_PARAMS_COMMON_EXCLUDE = () # TODO: ай-яй-яй"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 60,
|
|
"id": "dfd187a8-5b32-42c3-bc38-987b75bb2a2d",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-7 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-7 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-toggleable__content {\n",
|
|
" display: none;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" display: block;\n",
|
|
" width: 100%;\n",
|
|
" overflow: visible;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-7 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-7 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-7 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-7 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-7 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-7 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-7 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table summary {\n",
|
|
" padding: .5rem;\n",
|
|
" font-family: monospace;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table details[open] {\n",
|
|
" padding-left: 0.1rem;\n",
|
|
" padding-right: 0.1rem;\n",
|
|
" padding-bottom: 0.3rem;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table {\n",
|
|
" margin-left: auto !important;\n",
|
|
" margin-right: auto !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(odd) {\n",
|
|
" background-color: #fff;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(even) {\n",
|
|
" background-color: #f6f6f6;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:hover {\n",
|
|
" background-color: #e0e0e0;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table table td {\n",
|
|
" border: 1px solid rgba(106, 105, 104, 0.232);\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td {\n",
|
|
" color:rgb(255, 94, 0);\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td.value pre {\n",
|
|
" color:rgb(255, 94, 0) !important;\n",
|
|
" background-color: transparent !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".default td {\n",
|
|
" color: black;\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td i,\n",
|
|
".default td i {\n",
|
|
" color: black;\n",
|
|
"}\n",
|
|
"\n",
|
|
".copy-paste-icon {\n",
|
|
" background-image: url(data:image/svg+xml;base64,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);\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-size: 14px 14px;\n",
|
|
" background-position: 0;\n",
|
|
" display: inline-block;\n",
|
|
" width: 14px;\n",
|
|
" height: 14px;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"</style><body><div id=\"sk-container-id-7\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SequentialFeatureSelector(cv=4,\n",
|
|
" estimator=RandomForestRegressor(max_depth=8,\n",
|
|
" max_features='sqrt',\n",
|
|
" n_estimators=10),\n",
|
|
" floating=True, k_features=(4, 8),\n",
|
|
" scoring='neg_mean_absolute_percentage_error',\n",
|
|
" verbose=1)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-33\" type=\"checkbox\" ><label for=\"sk-estimator-id-33\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>SequentialFeatureSelector</div></div><div><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('estimator',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">estimator </td>\n",
|
|
" <td class=\"value\">RandomForestR...estimators=10)</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('k_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">k_features </td>\n",
|
|
" <td class=\"value\">(4, ...)</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('forward',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">forward </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('floating',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">floating </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('scoring',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">scoring </td>\n",
|
|
" <td class=\"value\">'neg_mean_absolute_percentage_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('cv',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">cv </td>\n",
|
|
" <td class=\"value\">4</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('pre_dispatch',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">pre_dispatch </td>\n",
|
|
" <td class=\"value\">'2*n_jobs'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('clone_estimator',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">clone_estimator </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('fixed_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">fixed_features </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('feature_groups',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">feature_groups </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-34\" type=\"checkbox\" ><label for=\"sk-estimator-id-34\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>estimator: RandomForestRegressor</div></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"estimator__\"><pre>RandomForestRegressor(max_depth=8, max_features='sqrt', n_estimators=10)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-35\" type=\"checkbox\" ><label for=\"sk-estimator-id-35\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>RandomForestRegressor</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"estimator__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_estimators',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_estimators </td>\n",
|
|
" <td class=\"value\">10</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('criterion',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">criterion </td>\n",
|
|
" <td class=\"value\">'squared_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_depth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_depth </td>\n",
|
|
" <td class=\"value\">8</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_split',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_split </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_leaf </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_weight_fraction_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_weight_fraction_leaf </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_features </td>\n",
|
|
" <td class=\"value\">'sqrt'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_leaf_nodes',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_leaf_nodes </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_impurity_decrease',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_impurity_decrease </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('bootstrap',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">bootstrap </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('oob_score',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">oob_score </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('warm_start',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">warm_start </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('ccp_alpha',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">ccp_alpha </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_samples',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_samples </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('monotonic_cst',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">monotonic_cst </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
|
|
" // Get the parameter prefix from the closest toggleable content\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
|
|
"\n",
|
|
" const originalStyle = element.style;\n",
|
|
" const computedStyle = window.getComputedStyle(element);\n",
|
|
" const originalWidth = computedStyle.width;\n",
|
|
" const originalHTML = element.innerHTML.replace('Copied!', '');\n",
|
|
"\n",
|
|
" navigator.clipboard.writeText(fullParamName)\n",
|
|
" .then(() => {\n",
|
|
" element.style.width = originalWidth;\n",
|
|
" element.style.color = 'green';\n",
|
|
" element.innerHTML = \"Copied!\";\n",
|
|
"\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" })\n",
|
|
" .catch(err => {\n",
|
|
" console.error('Failed to copy:', err);\n",
|
|
" element.style.color = 'red';\n",
|
|
" element.innerHTML = \"Failed!\";\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" });\n",
|
|
" return false;\n",
|
|
"}\n",
|
|
"\n",
|
|
"document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
|
|
"\n",
|
|
" element.setAttribute('title', fullParamName);\n",
|
|
"});\n",
|
|
"</script></body>"
|
|
],
|
|
"text/plain": [
|
|
"SequentialFeatureSelector(cv=4,\n",
|
|
" estimator=RandomForestRegressor(max_depth=8,\n",
|
|
" max_features='sqrt',\n",
|
|
" n_estimators=10),\n",
|
|
" floating=True, k_features=(4, 8),\n",
|
|
" scoring='neg_mean_absolute_percentage_error',\n",
|
|
" verbose=1)"
|
|
]
|
|
},
|
|
"execution_count": 60,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
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"source": [
|
|
"feature_selector = build_feature_selector(verbose=1)\n",
|
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"feature_selector"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 61,
|
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"id": "e8bf4bb3-e3af-4bc4-8ab5-7625e1e428e3",
|
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"metadata": {},
|
|
"outputs": [
|
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{
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"name": "stderr",
|
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"output_type": "stream",
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"text": [
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"[Parallel(n_jobs=1)]: Done 14 out of 14 | elapsed: 0.6s finished\n",
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"Features: 8/8"
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]
|
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}
|
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],
|
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"source": [
|
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"_ = feature_selector.fit(df_augd_features_train, df_target_train.iloc[:, 0])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "ed67ab27-023f-4639-85a0-cd4c3ef85dc8",
|
|
"metadata": {},
|
|
"source": [
|
|
"Выбранные признаки (имена и индексы):"
|
|
]
|
|
},
|
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{
|
|
"cell_type": "code",
|
|
"execution_count": 62,
|
|
"id": "66be5774-0ff7-43be-99df-b56c9165a4f7",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"{'names': ('extend_features_as_polynomial__selling_price',\n",
|
|
" 'extend_features_as_polynomial__selling_price^2',\n",
|
|
" 'extend_features_as_spline__age_sp_1',\n",
|
|
" 'extend_features_as_spline__age_sp_2',\n",
|
|
" 'scale_to_standard__age'),\n",
|
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" 'indices': (0, 2, 6, 7, 10)}"
|
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]
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},
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"execution_count": 62,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
|
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"source": [
|
|
"build_selected_columns_info_for_mlflow_from_sequential_feature_selector(feature_selector)"
|
|
]
|
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},
|
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{
|
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"cell_type": "markdown",
|
|
"id": "1c7498fd-669b-4fec-83ad-7d688fd23698",
|
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"metadata": {},
|
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"source": [
|
|
"MAPE в зависимости от количества выбранных признаков (указан регион выбора, ограниченный `FILTERED_FEATURES_NUM`):"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 63,
|
|
"id": "0180f3da-9775-451f-8262-b825f69228fc",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"fig, ax = plot_sequential_feature_selection(feature_selector, kind='std_dev')\n",
|
|
"ax.grid(True)\n",
|
|
"if isinstance(FILTERED_FEATURES_NUM, Sequence):\n",
|
|
" _ = ax.axvspan(min(FILTERED_FEATURES_NUM), max(FILTERED_FEATURES_NUM), color=matplotlib.colormaps.get_cmap('tab10')(6), alpha=0.15)\n",
|
|
"# хотелось бы поставить верхнюю границу `len(df_augd_features_train.columns)`, но SequentialFeatureSelector до неё не досчитывает-то\n",
|
|
"_ = ax.set_xlim((1, (max(FILTERED_FEATURES_NUM) if isinstance(FILTERED_FEATURES_NUM, Sequence) else FILTERED_FEATURES_NUM)))\n",
|
|
"_ = ax.set_ylim((None, 0.))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "1fc207ba-f324-4980-9f6f-b0c83ef2e127",
|
|
"metadata": {},
|
|
"source": [
|
|
"Составной пайплайн:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 64,
|
|
"id": "1ff048d8-63a9-45cc-b613-50891aab4612",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-8 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-8 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-toggleable__content {\n",
|
|
" display: none;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" display: block;\n",
|
|
" width: 100%;\n",
|
|
" overflow: visible;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-8 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-8 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-8 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-8 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-8 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-8 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-8 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-8 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-8 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table summary {\n",
|
|
" padding: .5rem;\n",
|
|
" font-family: monospace;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table details[open] {\n",
|
|
" padding-left: 0.1rem;\n",
|
|
" padding-right: 0.1rem;\n",
|
|
" padding-bottom: 0.3rem;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table {\n",
|
|
" margin-left: auto !important;\n",
|
|
" margin-right: auto !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(odd) {\n",
|
|
" background-color: #fff;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(even) {\n",
|
|
" background-color: #f6f6f6;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:hover {\n",
|
|
" background-color: #e0e0e0;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table table td {\n",
|
|
" border: 1px solid rgba(106, 105, 104, 0.232);\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td {\n",
|
|
" color:rgb(255, 94, 0);\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td.value pre {\n",
|
|
" color:rgb(255, 94, 0) !important;\n",
|
|
" background-color: transparent !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".default td {\n",
|
|
" color: black;\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td i,\n",
|
|
".default td i {\n",
|
|
" color: black;\n",
|
|
"}\n",
|
|
"\n",
|
|
".copy-paste-icon {\n",
|
|
" background-image: url(data:image/svg+xml;base64,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);\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-size: 14px 14px;\n",
|
|
" background-position: 0;\n",
|
|
" display: inline-block;\n",
|
|
" width: 14px;\n",
|
|
" height: 14px;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"</style><body><div id=\"sk-container-id-8\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[('preprocess',\n",
|
|
" ColumnTransformer(transformers=[('extend_features_as_polynomial',\n",
|
|
" Pipeline(steps=[('extend_features',\n",
|
|
" PolynomialFeatures(include_bias=False)),\n",
|
|
" ('scale_to_standard',\n",
|
|
" StandardScaler())]),\n",
|
|
" ('selling_price',\n",
|
|
" 'driven_kms')),\n",
|
|
" ('extend_features_as_spline',\n",
|
|
" SplineTransformer(include_bias=False,\n",
|
|
" knots='quantile',\n",
|
|
" n_knots=4),\n",
|
|
" ('age',)),\n",
|
|
" ('s...\n",
|
|
" ('fuel_type', 'selling_type',\n",
|
|
" 'transmission'))])),\n",
|
|
" ('select_features',\n",
|
|
" SequentialFeatureSelector(cv=4,\n",
|
|
" estimator=RandomForestRegressor(max_depth=8,\n",
|
|
" max_features='sqrt',\n",
|
|
" n_estimators=10),\n",
|
|
" floating=True, k_features=(4, 8),\n",
|
|
" scoring='neg_mean_absolute_percentage_error',\n",
|
|
" verbose=1)),\n",
|
|
" ('regress',\n",
|
|
" RandomForestRegressor(max_depth=8, max_features='sqrt',\n",
|
|
" n_estimators=10))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-36\" type=\"checkbox\" ><label for=\"sk-estimator-id-36\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>Pipeline</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('steps',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">steps </td>\n",
|
|
" <td class=\"value\">[('preprocess', ...), ('select_features', ...), ...]</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transform_input',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transform_input </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('memory',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">memory </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-37\" type=\"checkbox\" ><label for=\"sk-estimator-id-37\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>preprocess: ColumnTransformer</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.compose.ColumnTransformer.html\">?<span>Documentation for preprocess: ColumnTransformer</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transformers',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transformers </td>\n",
|
|
" <td class=\"value\">[('extend_features_as_polynomial', ...), ('extend_features_as_spline', ...), ...]</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('remainder',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">remainder </td>\n",
|
|
" <td class=\"value\">'drop'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('sparse_threshold',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">sparse_threshold </td>\n",
|
|
" <td class=\"value\">0.3</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transformer_weights',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transformer_weights </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose_feature_names_out',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose_feature_names_out </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('force_int_remainder_cols',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">force_int_remainder_cols </td>\n",
|
|
" <td class=\"value\">'deprecated'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-38\" type=\"checkbox\" ><label for=\"sk-estimator-id-38\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>extend_features_as_polynomial</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_polynomial__\"><pre>('selling_price', 'driven_kms')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-39\" type=\"checkbox\" ><label for=\"sk-estimator-id-39\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>PolynomialFeatures</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.PolynomialFeatures.html\">?<span>Documentation for PolynomialFeatures</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_polynomial__extend_features__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('degree',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">degree </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('interaction_only',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">interaction_only </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('include_bias',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">include_bias </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('order',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">order </td>\n",
|
|
" <td class=\"value\">'C'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-40\" type=\"checkbox\" ><label for=\"sk-estimator-id-40\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>StandardScaler</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_polynomial__scale_to_standard__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('copy',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">copy </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_mean',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_mean </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_std',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_std </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-41\" type=\"checkbox\" ><label for=\"sk-estimator-id-41\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>extend_features_as_spline</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_spline__\"><pre>('age',)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-42\" type=\"checkbox\" ><label for=\"sk-estimator-id-42\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>SplineTransformer</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.SplineTransformer.html\">?<span>Documentation for SplineTransformer</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_spline__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_knots',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_knots </td>\n",
|
|
" <td class=\"value\">4</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('degree',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">degree </td>\n",
|
|
" <td class=\"value\">3</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('knots',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">knots </td>\n",
|
|
" <td class=\"value\">'quantile'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('extrapolation',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">extrapolation </td>\n",
|
|
" <td class=\"value\">'constant'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('include_bias',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">include_bias </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('order',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">order </td>\n",
|
|
" <td class=\"value\">'C'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('sparse_output',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">sparse_output </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-43\" type=\"checkbox\" ><label for=\"sk-estimator-id-43\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>scale_to_standard</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__scale_to_standard__\"><pre>('age',)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-44\" type=\"checkbox\" ><label for=\"sk-estimator-id-44\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>StandardScaler</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__scale_to_standard__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('copy',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">copy </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_mean',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_mean </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_std',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_std </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-45\" type=\"checkbox\" ><label for=\"sk-estimator-id-45\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>encode_categoricals_wrt_target</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__encode_categoricals_wrt_target__\"><pre>('fuel_type', 'selling_type', 'transmission')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-46\" type=\"checkbox\" ><label for=\"sk-estimator-id-46\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>TargetEncoder</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.TargetEncoder.html\">?<span>Documentation for TargetEncoder</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__encode_categoricals_wrt_target__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('categories',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">categories </td>\n",
|
|
" <td class=\"value\">'auto'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('target_type',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">target_type </td>\n",
|
|
" <td class=\"value\">'continuous'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('smooth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">smooth </td>\n",
|
|
" <td class=\"value\">'auto'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('cv',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">cv </td>\n",
|
|
" <td class=\"value\">5</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('shuffle',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">shuffle </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">11990</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-47\" type=\"checkbox\" ><label for=\"sk-estimator-id-47\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>select_features: SequentialFeatureSelector</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"select_features__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('estimator',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">estimator </td>\n",
|
|
" <td class=\"value\">RandomForestR...estimators=10)</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('k_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">k_features </td>\n",
|
|
" <td class=\"value\">(4, ...)</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('forward',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">forward </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('floating',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">floating </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('scoring',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">scoring </td>\n",
|
|
" <td class=\"value\">'neg_mean_absolute_percentage_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('cv',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">cv </td>\n",
|
|
" <td class=\"value\">4</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('pre_dispatch',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">pre_dispatch </td>\n",
|
|
" <td class=\"value\">'2*n_jobs'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('clone_estimator',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">clone_estimator </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('fixed_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">fixed_features </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('feature_groups',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">feature_groups </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-48\" type=\"checkbox\" ><label for=\"sk-estimator-id-48\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>estimator: RandomForestRegressor</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"select_features__estimator__\"><pre>RandomForestRegressor(max_depth=8, max_features='sqrt', n_estimators=10)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-49\" type=\"checkbox\" ><label for=\"sk-estimator-id-49\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>RandomForestRegressor</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"select_features__estimator__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_estimators',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_estimators </td>\n",
|
|
" <td class=\"value\">10</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('criterion',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">criterion </td>\n",
|
|
" <td class=\"value\">'squared_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_depth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_depth </td>\n",
|
|
" <td class=\"value\">8</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_split',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_split </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_leaf </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_weight_fraction_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_weight_fraction_leaf </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_features </td>\n",
|
|
" <td class=\"value\">'sqrt'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_leaf_nodes',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_leaf_nodes </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_impurity_decrease',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_impurity_decrease </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('bootstrap',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">bootstrap </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('oob_score',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">oob_score </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('warm_start',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">warm_start </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('ccp_alpha',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">ccp_alpha </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_samples',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_samples </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('monotonic_cst',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">monotonic_cst </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-50\" type=\"checkbox\" ><label for=\"sk-estimator-id-50\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>RandomForestRegressor</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regress__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_estimators',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_estimators </td>\n",
|
|
" <td class=\"value\">10</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('criterion',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">criterion </td>\n",
|
|
" <td class=\"value\">'squared_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_depth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_depth </td>\n",
|
|
" <td class=\"value\">8</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_split',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_split </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_leaf </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_weight_fraction_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_weight_fraction_leaf </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_features </td>\n",
|
|
" <td class=\"value\">'sqrt'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_leaf_nodes',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_leaf_nodes </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_impurity_decrease',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_impurity_decrease </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('bootstrap',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">bootstrap </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('oob_score',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">oob_score </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('warm_start',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">warm_start </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('ccp_alpha',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">ccp_alpha </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_samples',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_samples </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('monotonic_cst',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">monotonic_cst </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
|
|
" // Get the parameter prefix from the closest toggleable content\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
|
|
"\n",
|
|
" const originalStyle = element.style;\n",
|
|
" const computedStyle = window.getComputedStyle(element);\n",
|
|
" const originalWidth = computedStyle.width;\n",
|
|
" const originalHTML = element.innerHTML.replace('Copied!', '');\n",
|
|
"\n",
|
|
" navigator.clipboard.writeText(fullParamName)\n",
|
|
" .then(() => {\n",
|
|
" element.style.width = originalWidth;\n",
|
|
" element.style.color = 'green';\n",
|
|
" element.innerHTML = \"Copied!\";\n",
|
|
"\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" })\n",
|
|
" .catch(err => {\n",
|
|
" console.error('Failed to copy:', err);\n",
|
|
" element.style.color = 'red';\n",
|
|
" element.innerHTML = \"Failed!\";\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" });\n",
|
|
" return false;\n",
|
|
"}\n",
|
|
"\n",
|
|
"document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
|
|
"\n",
|
|
" element.setAttribute('title', fullParamName);\n",
|
|
"});\n",
|
|
"</script></body>"
|
|
],
|
|
"text/plain": [
|
|
"Pipeline(steps=[('preprocess',\n",
|
|
" ColumnTransformer(transformers=[('extend_features_as_polynomial',\n",
|
|
" Pipeline(steps=[('extend_features',\n",
|
|
" PolynomialFeatures(include_bias=False)),\n",
|
|
" ('scale_to_standard',\n",
|
|
" StandardScaler())]),\n",
|
|
" ('selling_price',\n",
|
|
" 'driven_kms')),\n",
|
|
" ('extend_features_as_spline',\n",
|
|
" SplineTransformer(include_bias=False,\n",
|
|
" knots='quantile',\n",
|
|
" n_knots=4),\n",
|
|
" ('age',)),\n",
|
|
" ('s...\n",
|
|
" ('fuel_type', 'selling_type',\n",
|
|
" 'transmission'))])),\n",
|
|
" ('select_features',\n",
|
|
" SequentialFeatureSelector(cv=4,\n",
|
|
" estimator=RandomForestRegressor(max_depth=8,\n",
|
|
" max_features='sqrt',\n",
|
|
" n_estimators=10),\n",
|
|
" floating=True, k_features=(4, 8),\n",
|
|
" scoring='neg_mean_absolute_percentage_error',\n",
|
|
" verbose=1)),\n",
|
|
" ('regress',\n",
|
|
" RandomForestRegressor(max_depth=8, max_features='sqrt',\n",
|
|
" n_estimators=10))])"
|
|
]
|
|
},
|
|
"execution_count": 64,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"pipeline = sklearn.pipeline.Pipeline([\n",
|
|
" ('preprocess', build_preprocess_augmenting_transformer()),\n",
|
|
" ('select_features', feature_selector),\n",
|
|
" ('regress', regressor),\n",
|
|
"])\n",
|
|
"pipeline"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 65,
|
|
"id": "857ca3e3-39c2-4bea-99fa-526f9bb4fcf3",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"{'preprocess__remainder': 'drop',\n",
|
|
" 'preprocess__sparse_threshold': 0.3,\n",
|
|
" 'preprocess__transformer_weights': None,\n",
|
|
" 'preprocess__extend_features_as_spline': SplineTransformer(include_bias=False, knots='quantile', n_knots=4),\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features': PolynomialFeatures(include_bias=False),\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__degree': 2,\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__include_bias': False,\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__interaction_only': False,\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__order': 'C',\n",
|
|
" 'preprocess__extend_features_as_polynomial__scale_to_standard__with_mean': True,\n",
|
|
" 'preprocess__extend_features_as_polynomial__scale_to_standard__with_std': True,\n",
|
|
" 'preprocess__extend_features_as_spline__degree': 3,\n",
|
|
" 'preprocess__extend_features_as_spline__extrapolation': 'constant',\n",
|
|
" 'preprocess__extend_features_as_spline__include_bias': False,\n",
|
|
" 'preprocess__extend_features_as_spline__knots': 'quantile',\n",
|
|
" 'preprocess__extend_features_as_spline__n_knots': 4,\n",
|
|
" 'preprocess__extend_features_as_spline__order': 'C',\n",
|
|
" 'preprocess__extend_features_as_spline__sparse_output': False,\n",
|
|
" 'preprocess__scale_to_standard__with_mean': True,\n",
|
|
" 'preprocess__scale_to_standard__with_std': True,\n",
|
|
" 'select_features__cv': 4,\n",
|
|
" 'select_features__feature_groups': None,\n",
|
|
" 'select_features__fixed_features': None,\n",
|
|
" 'select_features__floating': True,\n",
|
|
" 'select_features__forward': True,\n",
|
|
" 'select_features__k_features': (4, 8),\n",
|
|
" 'select_features__scoring': 'neg_mean_absolute_percentage_error',\n",
|
|
" 'regress__bootstrap': True,\n",
|
|
" 'regress__ccp_alpha': 0.0,\n",
|
|
" 'regress__criterion': 'squared_error',\n",
|
|
" 'regress__max_depth': 8,\n",
|
|
" 'regress__max_features': 'sqrt',\n",
|
|
" 'regress__max_leaf_nodes': None,\n",
|
|
" 'regress__max_samples': None,\n",
|
|
" 'regress__min_impurity_decrease': 0.0,\n",
|
|
" 'regress__min_samples_leaf': 1,\n",
|
|
" 'regress__min_samples_split': 2,\n",
|
|
" 'regress__min_weight_fraction_leaf': 0.0,\n",
|
|
" 'regress__monotonic_cst': None,\n",
|
|
" 'regress__n_estimators': 10,\n",
|
|
" 'regress__oob_score': False,\n",
|
|
" 'regress__random_state': None}"
|
|
]
|
|
},
|
|
"execution_count": 65,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"model_params = filter_params(\n",
|
|
" pipeline.get_params(),\n",
|
|
" include={\n",
|
|
" 'preprocess': (False, PREPROCESS_AUGMENTING_TRANSFORMER_PARAMS_COMMON_INCLUDE.copy()),\n",
|
|
" 'select_features': (False, FEATURE_SELECTOR_PARAMS_COMMON_INCLUDE.copy()),\n",
|
|
" 'regress': (False, True),\n",
|
|
" },\n",
|
|
" exclude={\n",
|
|
" 'preprocess': PREPROCESS_AUGMENTING_TRANSFORMER_PARAMS_COMMON_EXCLUDE.copy(),\n",
|
|
" 'select_features': FEATURE_SELECTOR_PARAMS_COMMON_EXCLUDE,\n",
|
|
" 'regress': RANDOM_FOREST_REGRESSOR_PARAMS_COMMON_EXCLUDE,\n",
|
|
" },\n",
|
|
")\n",
|
|
"model_params"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "f05a1163-dced-4f54-be05-8da7fac7d611",
|
|
"metadata": {},
|
|
"source": [
|
|
"Обучение модели:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 66,
|
|
"id": "1a22889d-8cc7-42a4-a3f0-51af14723db8",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[Parallel(n_jobs=1)]: Done 14 out of 14 | elapsed: 0.5s finished\n",
|
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"Features: 1/8[Parallel(n_jobs=1)]: Done 13 out of 13 | elapsed: 0.5s finished\n",
|
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"Features: 2/8[Parallel(n_jobs=1)]: Done 12 out of 12 | elapsed: 0.6s finished\n",
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"[Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s finished\n",
|
|
"Features: 3/8[Parallel(n_jobs=1)]: Done 11 out of 11 | elapsed: 0.4s finished\n",
|
|
"[Parallel(n_jobs=1)]: Done 3 out of 3 | elapsed: 0.0s finished\n",
|
|
"Features: 4/8[Parallel(n_jobs=1)]: Done 10 out of 10 | elapsed: 0.4s finished\n",
|
|
"[Parallel(n_jobs=1)]: Done 4 out of 4 | elapsed: 0.1s finished\n",
|
|
"Features: 5/8[Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.3s finished\n",
|
|
"[Parallel(n_jobs=1)]: Done 5 out of 5 | elapsed: 0.1s finished\n",
|
|
"Features: 6/8[Parallel(n_jobs=1)]: Done 8 out of 8 | elapsed: 0.3s finished\n",
|
|
"[Parallel(n_jobs=1)]: Done 6 out of 6 | elapsed: 0.2s finished\n",
|
|
"Features: 7/8[Parallel(n_jobs=1)]: Done 7 out of 7 | elapsed: 0.3s finished\n",
|
|
"[Parallel(n_jobs=1)]: Done 7 out of 7 | elapsed: 0.2s finished\n",
|
|
"Features: 8/8"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# XXX: SequentialFeatureSelector обучается опять!?\n",
|
|
"_ = pipeline.fit(df_orig_features_train, df_target_train.iloc[:, 0])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "8ebb22dc-2bb2-48b1-a80c-5cf73b414fd8",
|
|
"metadata": {},
|
|
"source": [
|
|
"Оценка качества:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 67,
|
|
"id": "f6a1ebfb-13b0-4c40-896c-dc6e5c588d11",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"target_test_predicted = pipeline.predict(df_orig_features_test)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "fca0ac78-1371-43e3-8b57-4f5921ccedbe",
|
|
"metadata": {},
|
|
"source": [
|
|
"Метрики качества (MAPE, а также MSE, MAE):"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 68,
|
|
"id": "2690f68f-4e4e-456e-880d-7a13cf60b0ea",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"{'mse': 1.0194872911964548,\n",
|
|
" 'mae': 0.6263087407494466,\n",
|
|
" 'mape': 0.20033337884798225}"
|
|
]
|
|
},
|
|
"execution_count": 68,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"metrics = score_predictions(df_target_test, target_test_predicted)\n",
|
|
"metrics"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 69,
|
|
"id": "1f3d069c-2c5b-4214-9bed-17e6fe92a8d3",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"application/vnd.jupyter.widget-view+json": {
|
|
"model_id": "15d75fa1d12046c8b197bf0ac21439b9",
|
|
"version_major": 2,
|
|
"version_minor": 0
|
|
},
|
|
"text/plain": [
|
|
"Downloading artifacts: 0%| | 0/7 [00:00<?, ?it/s]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"🏃 View run Model with filtered engineered features at: http://localhost:5000/#/experiments/1/runs/2236e7acb9df4f689ca0b660e216560d\n",
|
|
"🧪 View experiment at: http://localhost:5000/#/experiments/1\n",
|
|
"🏃 View run Models at: http://localhost:5000/#/experiments/1/runs/4e4a9094cb3c4eed9d4a056a27cadcd9\n",
|
|
"🧪 View experiment at: http://localhost:5000/#/experiments/1\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"mlflow_log_model(\n",
|
|
" pipeline,\n",
|
|
" model_params=model_params,\n",
|
|
" metrics={k: float(v) for k, v in metrics.items()},\n",
|
|
" nested_run_name='Model with filtered engineered features',\n",
|
|
" model_signature=mlflow_model_signature,\n",
|
|
" input_example=df_orig_features.head(MODEL_INOUT_EXAMPLE_SIZE),\n",
|
|
" pip_requirements=MODEL_PIP_REQUIREMENTS_PATH,\n",
|
|
" #global_comment_file_path=(\n",
|
|
" # model_comment_path\n",
|
|
" # if model_comment_path is not None\n",
|
|
" # else (BASE_PATH / 'research' / model_comment_relpath)\n",
|
|
" #),\n",
|
|
" extra_logs_handler=(build_extra_logs_handler_selected_columns_from_sequential_feature_selector(pipeline.named_steps['select_features']),),\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "82581782-7994-42ca-aa0c-e9fec73a493d",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Автоматический подбор гиперпараметров модели"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "9a3e2e76-a14c-4b7f-801c-e7bc0fd64807",
|
|
"metadata": {},
|
|
"source": [
|
|
"Составной пайплайн:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 70,
|
|
"id": "0c04672b-43f6-41f2-9633-244976e76bb1",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def build_pipeline(regressor_n_estimators, regressor_max_depth=None, regressor_max_features='sqrt'):\n",
|
|
" return sklearn.pipeline.Pipeline([\n",
|
|
" ('preprocess', build_preprocess_augmenting_transformer()), \n",
|
|
" ('select_features', build_feature_selector()),\n",
|
|
" ('regress', build_regressor(regressor_n_estimators, max_depth=regressor_max_depth, max_features=regressor_max_features)),\n",
|
|
" ])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "6210409f-9e0b-4a37-9d77-d18a74673d60",
|
|
"metadata": {},
|
|
"source": [
|
|
"Целевая функция для оптимизатора гиперпараметров (подбирает параметры `RandomForestRegressor`: `n_estimators`, `max_depth`, `max_features`):"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 71,
|
|
"id": "40dd7435-9d5f-45ec-ac8d-44e841cd5b55",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def regressor_hyperparams_objective(trial):\n",
|
|
" n_estimators = trial.suggest_int('n_estimators', 1, 256, log=True)\n",
|
|
" max_depth = trial.suggest_int('max_depth', 1, 16, log=True)\n",
|
|
" max_features = trial.suggest_float('max_features', 0.1, 1.)\n",
|
|
" # составной пайплайн:\n",
|
|
" pipeline = build_pipeline(n_estimators, regressor_max_depth=max_depth, regressor_max_features=max_features)\n",
|
|
" # обучение модели:\n",
|
|
" _ = pipeline.fit(df_orig_features_train, df_target_train.iloc[:, 0])\n",
|
|
" # оценка качества:\n",
|
|
" target_test_predicted = pipeline.predict(df_orig_features_test)\n",
|
|
" # метрика качества (MAPE):\n",
|
|
" mape = sklearn.metrics.mean_absolute_percentage_error(df_target_test, target_test_predicted)\n",
|
|
" return mape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "b5e849e1-731c-4163-a89b-07e346275c86",
|
|
"metadata": {},
|
|
"source": [
|
|
"optuna study:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 72,
|
|
"id": "df2df0e4-8955-46e7-9f18-45defc495352",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[I 2025-11-02 01:54:34,763] A new study created in memory with name: no-name-a51c5e47-d34c-41d9-a12c-73c911dfc2c9\n",
|
|
"[I 2025-11-02 01:54:45,860] Trial 0 finished with value: 0.31673042260874146 and parameters: {'n_estimators': 1, 'max_depth': 5, 'max_features': 0.7538601592025193}. Best is trial 0 with value: 0.31673042260874146.\n",
|
|
"[I 2025-11-02 01:54:55,277] Trial 1 finished with value: 0.2221917240762483 and parameters: {'n_estimators': 243, 'max_depth': 6, 'max_features': 0.8990011000072798}. Best is trial 1 with value: 0.2221917240762483.\n",
|
|
"[I 2025-11-02 01:55:07,160] Trial 2 finished with value: 0.9128522772564759 and parameters: {'n_estimators': 1, 'max_depth': 3, 'max_features': 0.3925657054705518}. Best is trial 1 with value: 0.2221917240762483.\n",
|
|
"[I 2025-11-02 01:55:15,650] Trial 3 finished with value: 0.36954875874544413 and parameters: {'n_estimators': 3, 'max_depth': 6, 'max_features': 0.15481298252760906}. Best is trial 1 with value: 0.2221917240762483.\n",
|
|
"[I 2025-11-02 01:55:22,138] Trial 4 finished with value: 0.44425704345344336 and parameters: {'n_estimators': 6, 'max_depth': 5, 'max_features': 0.1048988611194081}. Best is trial 1 with value: 0.2221917240762483.\n",
|
|
"[I 2025-11-02 01:55:29,471] Trial 5 finished with value: 0.23556663756910004 and parameters: {'n_estimators': 10, 'max_depth': 9, 'max_features': 0.19332272517658144}. Best is trial 1 with value: 0.2221917240762483.\n",
|
|
"[I 2025-11-02 01:55:36,076] Trial 6 finished with value: 1.8160905200927615 and parameters: {'n_estimators': 100, 'max_depth': 2, 'max_features': 0.302198580450086}. Best is trial 1 with value: 0.2221917240762483.\n",
|
|
"[I 2025-11-02 01:55:43,776] Trial 7 finished with value: 0.3732943995516396 and parameters: {'n_estimators': 1, 'max_depth': 4, 'max_features': 0.7063695125561774}. Best is trial 1 with value: 0.2221917240762483.\n",
|
|
"[I 2025-11-02 01:55:52,289] Trial 8 finished with value: 0.2593980092715887 and parameters: {'n_estimators': 1, 'max_depth': 6, 'max_features': 0.3967800872812408}. Best is trial 1 with value: 0.2221917240762483.\n",
|
|
"[I 2025-11-02 01:55:58,016] Trial 9 finished with value: 0.7822104999528057 and parameters: {'n_estimators': 12, 'max_depth': 2, 'max_features': 0.9922723597006147}. Best is trial 1 with value: 0.2221917240762483.\n",
|
|
"[I 2025-11-02 01:56:05,063] Trial 10 finished with value: 2.6164201373576716 and parameters: {'n_estimators': 242, 'max_depth': 1, 'max_features': 0.9886866627656377}. Best is trial 1 with value: 0.2221917240762483.\n",
|
|
"[I 2025-11-02 01:56:13,968] Trial 11 finished with value: 0.20656714196125883 and parameters: {'n_estimators': 27, 'max_depth': 16, 'max_features': 0.6239771558659984}. Best is trial 11 with value: 0.20656714196125883.\n",
|
|
"[I 2025-11-02 01:56:20,623] Trial 12 finished with value: 0.20542336297369948 and parameters: {'n_estimators': 49, 'max_depth': 16, 'max_features': 0.6557746668259969}. Best is trial 12 with value: 0.20542336297369948.\n",
|
|
"[I 2025-11-02 01:56:26,355] Trial 13 finished with value: 0.2000663860477421 and parameters: {'n_estimators': 38, 'max_depth': 16, 'max_features': 0.6301192326123578}. Best is trial 13 with value: 0.2000663860477421.\n",
|
|
"[I 2025-11-02 01:56:35,951] Trial 14 finished with value: 0.19564416684050806 and parameters: {'n_estimators': 42, 'max_depth': 10, 'max_features': 0.5116506936294666}. Best is trial 14 with value: 0.19564416684050806.\n",
|
|
"[I 2025-11-02 01:56:43,803] Trial 15 finished with value: 0.2002547156962009 and parameters: {'n_estimators': 39, 'max_depth': 10, 'max_features': 0.5149110154288706}. Best is trial 14 with value: 0.19564416684050806.\n",
|
|
"[I 2025-11-02 01:56:51,726] Trial 16 finished with value: 0.19801054591841608 and parameters: {'n_estimators': 86, 'max_depth': 14, 'max_features': 0.5190201664970586}. Best is trial 14 with value: 0.19564416684050806.\n",
|
|
"[I 2025-11-02 01:57:00,437] Trial 17 finished with value: 0.19032917786557116 and parameters: {'n_estimators': 118, 'max_depth': 9, 'max_features': 0.5081814551833768}. Best is trial 17 with value: 0.19032917786557116.\n",
|
|
"[I 2025-11-02 01:57:10,113] Trial 18 finished with value: 0.1813407546593623 and parameters: {'n_estimators': 103, 'max_depth': 8, 'max_features': 0.4209660896030313}. Best is trial 18 with value: 0.1813407546593623.\n",
|
|
"[I 2025-11-02 01:57:17,883] Trial 19 finished with value: 3.000176786841034 and parameters: {'n_estimators': 126, 'max_depth': 1, 'max_features': 0.38890086577637156}. Best is trial 18 with value: 0.1813407546593623.\n",
|
|
"[I 2025-11-02 01:57:25,435] Trial 20 finished with value: 0.22680617405659242 and parameters: {'n_estimators': 22, 'max_depth': 8, 'max_features': 0.2882817069063991}. Best is trial 18 with value: 0.1813407546593623.\n",
|
|
"[I 2025-11-02 01:57:32,849] Trial 21 finished with value: 0.1752331836664575 and parameters: {'n_estimators': 78, 'max_depth': 10, 'max_features': 0.4752873867901817}. Best is trial 21 with value: 0.1752331836664575.\n",
|
|
"[I 2025-11-02 01:57:39,316] Trial 22 finished with value: 0.18475613206691036 and parameters: {'n_estimators': 129, 'max_depth': 11, 'max_features': 0.4390718757757792}. Best is trial 21 with value: 0.1752331836664575.\n",
|
|
"[I 2025-11-02 01:57:46,769] Trial 23 finished with value: 0.18901586701156378 and parameters: {'n_estimators': 67, 'max_depth': 11, 'max_features': 0.4285121891249491}. Best is trial 21 with value: 0.1752331836664575.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"optuna_sampler = optuna.samplers.TPESampler(seed=0x0A1C)\n",
|
|
"optuna_study = optuna.create_study(sampler=optuna_sampler, direction='minimize')\n",
|
|
"optuna_study.optimize(regressor_hyperparams_objective, n_trials=24)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "80221464-d081-4902-8f42-e6ef180d38c2",
|
|
"metadata": {},
|
|
"source": [
|
|
"Количество выполненных trials:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 73,
|
|
"id": "98ab0233-4ae7-494f-8c2a-ec226b70d47f",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"24"
|
|
]
|
|
},
|
|
"execution_count": 73,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"len(optuna_study.trials)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "3cc52f0d-965f-4f16-90dd-9f6e7717c9dc",
|
|
"metadata": {},
|
|
"source": [
|
|
"Лучшие найдённые гиперпараметры:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 74,
|
|
"id": "ac80eacb-99de-43d1-b280-b4286c63320e",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\"{'n_estimators': 78, 'max_depth': 10, 'max_features': 0.4752873867901817}\""
|
|
]
|
|
},
|
|
"execution_count": 74,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"repr(optuna_study.best_params)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 75,
|
|
"id": "a673a563-0a21-495f-be7b-53e5d3b77f66",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"regressor_best_params = dict(optuna_study.best_params.items())"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "b818b5ad-cc97-458d-a5c9-7b517cf84390",
|
|
"metadata": {},
|
|
"source": [
|
|
"Составной пайплайн:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 76,
|
|
"id": "54e929bc-ec51-4c34-adc7-481fe5d127a3",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def build_pipeline_optimized_best():\n",
|
|
" return build_pipeline(\n",
|
|
" regressor_best_params['n_estimators'],\n",
|
|
" regressor_max_depth=regressor_best_params['max_depth'],\n",
|
|
" regressor_max_features=regressor_best_params['max_features'],\n",
|
|
" )"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 77,
|
|
"id": "fa5ab915-cadf-4d04-91cc-a65b2bc3cdcc",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-9 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-9 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-toggleable__content {\n",
|
|
" display: none;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" display: block;\n",
|
|
" width: 100%;\n",
|
|
" overflow: visible;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-9 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-9 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-9 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-9 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-9 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-9 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-9 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-9 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-9 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table summary {\n",
|
|
" padding: .5rem;\n",
|
|
" font-family: monospace;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table details[open] {\n",
|
|
" padding-left: 0.1rem;\n",
|
|
" padding-right: 0.1rem;\n",
|
|
" padding-bottom: 0.3rem;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table {\n",
|
|
" margin-left: auto !important;\n",
|
|
" margin-right: auto !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(odd) {\n",
|
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" background-color: #fff;\n",
|
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"}\n",
|
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"\n",
|
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".estimator-table .parameters-table tr:nth-child(even) {\n",
|
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" background-color: #f6f6f6;\n",
|
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"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:hover {\n",
|
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" background-color: #e0e0e0;\n",
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"}\n",
|
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"\n",
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".estimator-table table td {\n",
|
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" border: 1px solid rgba(106, 105, 104, 0.232);\n",
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"}\n",
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"\n",
|
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".user-set td {\n",
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" color:rgb(255, 94, 0);\n",
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" text-align: left;\n",
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"}\n",
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"\n",
|
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".user-set td.value pre {\n",
|
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" color:rgb(255, 94, 0) !important;\n",
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" background-color: transparent !important;\n",
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"}\n",
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"\n",
|
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".default td {\n",
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" color: black;\n",
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"\n",
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".user-set td i,\n",
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".default td i {\n",
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" display: inline-block;\n",
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" width: 14px;\n",
|
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" height: 14px;\n",
|
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" cursor: pointer;\n",
|
|
"}\n",
|
|
"</style><body><div id=\"sk-container-id-9\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[('preprocess',\n",
|
|
" ColumnTransformer(transformers=[('extend_features_as_polynomial',\n",
|
|
" Pipeline(steps=[('extend_features',\n",
|
|
" PolynomialFeatures(include_bias=False)),\n",
|
|
" ('scale_to_standard',\n",
|
|
" StandardScaler())]),\n",
|
|
" ('selling_price',\n",
|
|
" 'driven_kms')),\n",
|
|
" ('extend_features_as_spline',\n",
|
|
" SplineTransformer(include_bias=False,\n",
|
|
" knots='quantile',\n",
|
|
" n_knots=4),\n",
|
|
" ('age',)),\n",
|
|
" ('s...\n",
|
|
" ('fuel_type', 'selling_type',\n",
|
|
" 'transmission'))])),\n",
|
|
" ('select_features',\n",
|
|
" SequentialFeatureSelector(cv=4,\n",
|
|
" estimator=RandomForestRegressor(max_depth=8,\n",
|
|
" max_features='sqrt',\n",
|
|
" n_estimators=10),\n",
|
|
" floating=True, k_features=(4, 8),\n",
|
|
" scoring='neg_mean_absolute_percentage_error')),\n",
|
|
" ('regress',\n",
|
|
" RandomForestRegressor(max_depth=10,\n",
|
|
" max_features=0.4752873867901817,\n",
|
|
" n_estimators=78))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-51\" type=\"checkbox\" ><label for=\"sk-estimator-id-51\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>Pipeline</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('steps',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">steps </td>\n",
|
|
" <td class=\"value\">[('preprocess', ...), ('select_features', ...), ...]</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transform_input',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transform_input </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('memory',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">memory </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-52\" type=\"checkbox\" ><label for=\"sk-estimator-id-52\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>preprocess: ColumnTransformer</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.compose.ColumnTransformer.html\">?<span>Documentation for preprocess: ColumnTransformer</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transformers',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transformers </td>\n",
|
|
" <td class=\"value\">[('extend_features_as_polynomial', ...), ('extend_features_as_spline', ...), ...]</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('remainder',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">remainder </td>\n",
|
|
" <td class=\"value\">'drop'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('sparse_threshold',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">sparse_threshold </td>\n",
|
|
" <td class=\"value\">0.3</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transformer_weights',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transformer_weights </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose_feature_names_out',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose_feature_names_out </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('force_int_remainder_cols',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">force_int_remainder_cols </td>\n",
|
|
" <td class=\"value\">'deprecated'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-53\" type=\"checkbox\" ><label for=\"sk-estimator-id-53\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>extend_features_as_polynomial</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_polynomial__\"><pre>('selling_price', 'driven_kms')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-54\" type=\"checkbox\" ><label for=\"sk-estimator-id-54\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>PolynomialFeatures</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.PolynomialFeatures.html\">?<span>Documentation for PolynomialFeatures</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_polynomial__extend_features__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('degree',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">degree </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('interaction_only',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">interaction_only </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('include_bias',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">include_bias </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('order',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">order </td>\n",
|
|
" <td class=\"value\">'C'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-55\" type=\"checkbox\" ><label for=\"sk-estimator-id-55\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>StandardScaler</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_polynomial__scale_to_standard__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('copy',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">copy </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_mean',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_mean </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_std',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_std </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-56\" type=\"checkbox\" ><label for=\"sk-estimator-id-56\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>extend_features_as_spline</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_spline__\"><pre>('age',)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-57\" type=\"checkbox\" ><label for=\"sk-estimator-id-57\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>SplineTransformer</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.SplineTransformer.html\">?<span>Documentation for SplineTransformer</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_spline__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_knots',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_knots </td>\n",
|
|
" <td class=\"value\">4</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('degree',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">degree </td>\n",
|
|
" <td class=\"value\">3</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('knots',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">knots </td>\n",
|
|
" <td class=\"value\">'quantile'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('extrapolation',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">extrapolation </td>\n",
|
|
" <td class=\"value\">'constant'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('include_bias',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">include_bias </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('order',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">order </td>\n",
|
|
" <td class=\"value\">'C'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('sparse_output',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">sparse_output </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-58\" type=\"checkbox\" ><label for=\"sk-estimator-id-58\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>scale_to_standard</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__scale_to_standard__\"><pre>('age',)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-59\" type=\"checkbox\" ><label for=\"sk-estimator-id-59\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>StandardScaler</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__scale_to_standard__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('copy',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">copy </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_mean',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_mean </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_std',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_std </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-60\" type=\"checkbox\" ><label for=\"sk-estimator-id-60\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>encode_categoricals_wrt_target</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__encode_categoricals_wrt_target__\"><pre>('fuel_type', 'selling_type', 'transmission')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-61\" type=\"checkbox\" ><label for=\"sk-estimator-id-61\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>TargetEncoder</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.TargetEncoder.html\">?<span>Documentation for TargetEncoder</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__encode_categoricals_wrt_target__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('categories',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">categories </td>\n",
|
|
" <td class=\"value\">'auto'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('target_type',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">target_type </td>\n",
|
|
" <td class=\"value\">'continuous'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('smooth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">smooth </td>\n",
|
|
" <td class=\"value\">'auto'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('cv',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">cv </td>\n",
|
|
" <td class=\"value\">5</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('shuffle',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">shuffle </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">11990</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-62\" type=\"checkbox\" ><label for=\"sk-estimator-id-62\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>select_features: SequentialFeatureSelector</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"select_features__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('estimator',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">estimator </td>\n",
|
|
" <td class=\"value\">RandomForestR...estimators=10)</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('k_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">k_features </td>\n",
|
|
" <td class=\"value\">(4, ...)</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('forward',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">forward </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('floating',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">floating </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('scoring',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">scoring </td>\n",
|
|
" <td class=\"value\">'neg_mean_absolute_percentage_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('cv',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">cv </td>\n",
|
|
" <td class=\"value\">4</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('pre_dispatch',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">pre_dispatch </td>\n",
|
|
" <td class=\"value\">'2*n_jobs'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('clone_estimator',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">clone_estimator </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('fixed_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">fixed_features </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('feature_groups',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">feature_groups </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-63\" type=\"checkbox\" ><label for=\"sk-estimator-id-63\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>estimator: RandomForestRegressor</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"select_features__estimator__\"><pre>RandomForestRegressor(max_depth=8, max_features='sqrt', n_estimators=10)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-64\" type=\"checkbox\" ><label for=\"sk-estimator-id-64\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>RandomForestRegressor</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"select_features__estimator__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_estimators',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_estimators </td>\n",
|
|
" <td class=\"value\">10</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('criterion',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">criterion </td>\n",
|
|
" <td class=\"value\">'squared_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_depth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_depth </td>\n",
|
|
" <td class=\"value\">8</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_split',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_split </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_leaf </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_weight_fraction_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_weight_fraction_leaf </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_features </td>\n",
|
|
" <td class=\"value\">'sqrt'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_leaf_nodes',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_leaf_nodes </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_impurity_decrease',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_impurity_decrease </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('bootstrap',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">bootstrap </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('oob_score',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">oob_score </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('warm_start',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">warm_start </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('ccp_alpha',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">ccp_alpha </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_samples',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_samples </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('monotonic_cst',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">monotonic_cst </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-65\" type=\"checkbox\" ><label for=\"sk-estimator-id-65\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>RandomForestRegressor</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regress__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_estimators',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_estimators </td>\n",
|
|
" <td class=\"value\">78</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('criterion',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">criterion </td>\n",
|
|
" <td class=\"value\">'squared_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_depth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_depth </td>\n",
|
|
" <td class=\"value\">10</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_split',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_split </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_leaf </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_weight_fraction_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_weight_fraction_leaf </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_features </td>\n",
|
|
" <td class=\"value\">0.4752873867901817</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_leaf_nodes',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_leaf_nodes </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_impurity_decrease',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_impurity_decrease </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('bootstrap',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">bootstrap </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('oob_score',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">oob_score </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('warm_start',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">warm_start </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('ccp_alpha',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">ccp_alpha </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_samples',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_samples </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('monotonic_cst',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">monotonic_cst </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
|
|
" // Get the parameter prefix from the closest toggleable content\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
|
|
"\n",
|
|
" const originalStyle = element.style;\n",
|
|
" const computedStyle = window.getComputedStyle(element);\n",
|
|
" const originalWidth = computedStyle.width;\n",
|
|
" const originalHTML = element.innerHTML.replace('Copied!', '');\n",
|
|
"\n",
|
|
" navigator.clipboard.writeText(fullParamName)\n",
|
|
" .then(() => {\n",
|
|
" element.style.width = originalWidth;\n",
|
|
" element.style.color = 'green';\n",
|
|
" element.innerHTML = \"Copied!\";\n",
|
|
"\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" })\n",
|
|
" .catch(err => {\n",
|
|
" console.error('Failed to copy:', err);\n",
|
|
" element.style.color = 'red';\n",
|
|
" element.innerHTML = \"Failed!\";\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" });\n",
|
|
" return false;\n",
|
|
"}\n",
|
|
"\n",
|
|
"document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
|
|
"\n",
|
|
" element.setAttribute('title', fullParamName);\n",
|
|
"});\n",
|
|
"</script></body>"
|
|
],
|
|
"text/plain": [
|
|
"Pipeline(steps=[('preprocess',\n",
|
|
" ColumnTransformer(transformers=[('extend_features_as_polynomial',\n",
|
|
" Pipeline(steps=[('extend_features',\n",
|
|
" PolynomialFeatures(include_bias=False)),\n",
|
|
" ('scale_to_standard',\n",
|
|
" StandardScaler())]),\n",
|
|
" ('selling_price',\n",
|
|
" 'driven_kms')),\n",
|
|
" ('extend_features_as_spline',\n",
|
|
" SplineTransformer(include_bias=False,\n",
|
|
" knots='quantile',\n",
|
|
" n_knots=4),\n",
|
|
" ('age',)),\n",
|
|
" ('s...\n",
|
|
" ('fuel_type', 'selling_type',\n",
|
|
" 'transmission'))])),\n",
|
|
" ('select_features',\n",
|
|
" SequentialFeatureSelector(cv=4,\n",
|
|
" estimator=RandomForestRegressor(max_depth=8,\n",
|
|
" max_features='sqrt',\n",
|
|
" n_estimators=10),\n",
|
|
" floating=True, k_features=(4, 8),\n",
|
|
" scoring='neg_mean_absolute_percentage_error')),\n",
|
|
" ('regress',\n",
|
|
" RandomForestRegressor(max_depth=10,\n",
|
|
" max_features=0.4752873867901817,\n",
|
|
" n_estimators=78))])"
|
|
]
|
|
},
|
|
"execution_count": 77,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"pipeline = build_pipeline_optimized_best()\n",
|
|
"pipeline"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 78,
|
|
"id": "445380bd-a56f-41f6-b148-9e4fee189a09",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"{'preprocess__remainder': 'drop',\n",
|
|
" 'preprocess__sparse_threshold': 0.3,\n",
|
|
" 'preprocess__transformer_weights': None,\n",
|
|
" 'preprocess__extend_features_as_spline': SplineTransformer(include_bias=False, knots='quantile', n_knots=4),\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features': PolynomialFeatures(include_bias=False),\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__degree': 2,\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__include_bias': False,\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__interaction_only': False,\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__order': 'C',\n",
|
|
" 'preprocess__extend_features_as_polynomial__scale_to_standard__with_mean': True,\n",
|
|
" 'preprocess__extend_features_as_polynomial__scale_to_standard__with_std': True,\n",
|
|
" 'preprocess__extend_features_as_spline__degree': 3,\n",
|
|
" 'preprocess__extend_features_as_spline__extrapolation': 'constant',\n",
|
|
" 'preprocess__extend_features_as_spline__include_bias': False,\n",
|
|
" 'preprocess__extend_features_as_spline__knots': 'quantile',\n",
|
|
" 'preprocess__extend_features_as_spline__n_knots': 4,\n",
|
|
" 'preprocess__extend_features_as_spline__order': 'C',\n",
|
|
" 'preprocess__extend_features_as_spline__sparse_output': False,\n",
|
|
" 'preprocess__scale_to_standard__with_mean': True,\n",
|
|
" 'preprocess__scale_to_standard__with_std': True,\n",
|
|
" 'select_features__cv': 4,\n",
|
|
" 'select_features__feature_groups': None,\n",
|
|
" 'select_features__fixed_features': None,\n",
|
|
" 'select_features__floating': True,\n",
|
|
" 'select_features__forward': True,\n",
|
|
" 'select_features__k_features': (4, 8),\n",
|
|
" 'select_features__scoring': 'neg_mean_absolute_percentage_error',\n",
|
|
" 'regress__bootstrap': True,\n",
|
|
" 'regress__ccp_alpha': 0.0,\n",
|
|
" 'regress__criterion': 'squared_error',\n",
|
|
" 'regress__max_depth': 10,\n",
|
|
" 'regress__max_features': 0.4752873867901817,\n",
|
|
" 'regress__max_leaf_nodes': None,\n",
|
|
" 'regress__max_samples': None,\n",
|
|
" 'regress__min_impurity_decrease': 0.0,\n",
|
|
" 'regress__min_samples_leaf': 1,\n",
|
|
" 'regress__min_samples_split': 2,\n",
|
|
" 'regress__min_weight_fraction_leaf': 0.0,\n",
|
|
" 'regress__monotonic_cst': None,\n",
|
|
" 'regress__n_estimators': 78,\n",
|
|
" 'regress__oob_score': False,\n",
|
|
" 'regress__random_state': None}"
|
|
]
|
|
},
|
|
"execution_count": 78,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"model_params = filter_params(\n",
|
|
" pipeline.get_params(),\n",
|
|
" include={\n",
|
|
" 'preprocess': (False, PREPROCESS_AUGMENTING_TRANSFORMER_PARAMS_COMMON_INCLUDE.copy()),\n",
|
|
" 'select_features': (False, FEATURE_SELECTOR_PARAMS_COMMON_INCLUDE.copy()),\n",
|
|
" 'regress': (False, True),\n",
|
|
" },\n",
|
|
" exclude={\n",
|
|
" 'preprocess': PREPROCESS_AUGMENTING_TRANSFORMER_PARAMS_COMMON_EXCLUDE.copy(),\n",
|
|
" 'select_features': FEATURE_SELECTOR_PARAMS_COMMON_EXCLUDE,\n",
|
|
" 'regress': RANDOM_FOREST_REGRESSOR_PARAMS_COMMON_EXCLUDE,\n",
|
|
" },\n",
|
|
")\n",
|
|
"model_params"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "3f30dacc-3edd-4821-b45b-5dbb06327cbd",
|
|
"metadata": {},
|
|
"source": [
|
|
"Обучение модели:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 79,
|
|
"id": "3b4d37f6-e3e0-4dbf-98f4-2993b5e2216d",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"_ = pipeline.fit(df_orig_features_train, df_target_train.iloc[:, 0])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "dc586b98-7431-4fa6-848d-fa50c03d4952",
|
|
"metadata": {},
|
|
"source": [
|
|
"Оценка качества:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 80,
|
|
"id": "99b16840-f368-4b38-b3d5-e98cfd52ace8",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"target_test_predicted = pipeline.predict(df_orig_features_test)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "e4601f93-a431-494f-b047-6bcffb406c90",
|
|
"metadata": {},
|
|
"source": [
|
|
"Метрики качества (MAPE, а также MSE, MAE):"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 81,
|
|
"id": "29bb2b58-fd88-40d0-9998-8376f72a83fb",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"{'mse': 0.9370236080018509,\n",
|
|
" 'mae': 0.6048078379366015,\n",
|
|
" 'mape': 0.19721535277529492}"
|
|
]
|
|
},
|
|
"execution_count": 81,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"metrics = score_predictions(df_target_test, target_test_predicted)\n",
|
|
"metrics"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 82,
|
|
"id": "57c13865-8763-41d6-9b1d-3103070be086",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"application/vnd.jupyter.widget-view+json": {
|
|
"model_id": "6f4a84b68c834b93bc62c1982114ddea",
|
|
"version_major": 2,
|
|
"version_minor": 0
|
|
},
|
|
"text/plain": [
|
|
"Downloading artifacts: 0%| | 0/7 [00:00<?, ?it/s]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"🏃 View run Optimized model with filtered engineered features at: http://localhost:5000/#/experiments/1/runs/c8af91a577d24b74adba3348a90b5e69\n",
|
|
"🧪 View experiment at: http://localhost:5000/#/experiments/1\n",
|
|
"🏃 View run Models at: http://localhost:5000/#/experiments/1/runs/4e4a9094cb3c4eed9d4a056a27cadcd9\n",
|
|
"🧪 View experiment at: http://localhost:5000/#/experiments/1\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"mlflow_log_model(\n",
|
|
" pipeline,\n",
|
|
" model_params=model_params,\n",
|
|
" metrics={k: float(v) for k, v in metrics.items()},\n",
|
|
" nested_run_name='Optimized model with filtered engineered features',\n",
|
|
" model_signature=mlflow_model_signature,\n",
|
|
" input_example=df_orig_features.head(MODEL_INOUT_EXAMPLE_SIZE),\n",
|
|
" pip_requirements=MODEL_PIP_REQUIREMENTS_PATH,\n",
|
|
" #global_comment_file_path=(\n",
|
|
" # model_comment_path\n",
|
|
" # if model_comment_path is not None\n",
|
|
" # else (BASE_PATH / 'research' / model_comment_relpath)\n",
|
|
" #),\n",
|
|
" extra_logs_handler=(build_extra_logs_handler_selected_columns_from_sequential_feature_selector(pipeline.named_steps['select_features']),),\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "13b71a50-e193-40e5-82b4-77befd133837",
|
|
"metadata": {},
|
|
"source": [
|
|
"### И в продакшн"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "3d47441b-8ee3-4cc5-adec-55e501a3a255",
|
|
"metadata": {},
|
|
"source": [
|
|
"Лучшая выбранная модель — с автоматически подобранными гиперпараметрами."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 83,
|
|
"id": "47252a89-4774-4f40-ae37-165927e89f87",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-10 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-10 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-toggleable__content {\n",
|
|
" display: none;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" display: block;\n",
|
|
" width: 100%;\n",
|
|
" overflow: visible;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-10 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-10 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-10 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-10 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-10 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-10 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-10 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-10 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table summary {\n",
|
|
" padding: .5rem;\n",
|
|
" font-family: monospace;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table details[open] {\n",
|
|
" padding-left: 0.1rem;\n",
|
|
" padding-right: 0.1rem;\n",
|
|
" padding-bottom: 0.3rem;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table {\n",
|
|
" margin-left: auto !important;\n",
|
|
" margin-right: auto !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(odd) {\n",
|
|
" background-color: #fff;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:nth-child(even) {\n",
|
|
" background-color: #f6f6f6;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table .parameters-table tr:hover {\n",
|
|
" background-color: #e0e0e0;\n",
|
|
"}\n",
|
|
"\n",
|
|
".estimator-table table td {\n",
|
|
" border: 1px solid rgba(106, 105, 104, 0.232);\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td {\n",
|
|
" color:rgb(255, 94, 0);\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td.value pre {\n",
|
|
" color:rgb(255, 94, 0) !important;\n",
|
|
" background-color: transparent !important;\n",
|
|
"}\n",
|
|
"\n",
|
|
".default td {\n",
|
|
" color: black;\n",
|
|
" text-align: left;\n",
|
|
"}\n",
|
|
"\n",
|
|
".user-set td i,\n",
|
|
".default td i {\n",
|
|
" color: black;\n",
|
|
"}\n",
|
|
"\n",
|
|
".copy-paste-icon {\n",
|
|
" background-image: url(data:image/svg+xml;base64,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);\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-size: 14px 14px;\n",
|
|
" background-position: 0;\n",
|
|
" display: inline-block;\n",
|
|
" width: 14px;\n",
|
|
" height: 14px;\n",
|
|
" cursor: pointer;\n",
|
|
"}\n",
|
|
"</style><body><div id=\"sk-container-id-10\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[('preprocess',\n",
|
|
" ColumnTransformer(transformers=[('extend_features_as_polynomial',\n",
|
|
" Pipeline(steps=[('extend_features',\n",
|
|
" PolynomialFeatures(include_bias=False)),\n",
|
|
" ('scale_to_standard',\n",
|
|
" StandardScaler())]),\n",
|
|
" ('selling_price',\n",
|
|
" 'driven_kms')),\n",
|
|
" ('extend_features_as_spline',\n",
|
|
" SplineTransformer(include_bias=False,\n",
|
|
" knots='quantile',\n",
|
|
" n_knots=4),\n",
|
|
" ('age',)),\n",
|
|
" ('s...\n",
|
|
" ('fuel_type', 'selling_type',\n",
|
|
" 'transmission'))])),\n",
|
|
" ('select_features',\n",
|
|
" SequentialFeatureSelector(cv=4,\n",
|
|
" estimator=RandomForestRegressor(max_depth=8,\n",
|
|
" max_features='sqrt',\n",
|
|
" n_estimators=10),\n",
|
|
" floating=True, k_features=(4, 8),\n",
|
|
" scoring='neg_mean_absolute_percentage_error')),\n",
|
|
" ('regress',\n",
|
|
" RandomForestRegressor(max_depth=10,\n",
|
|
" max_features=0.4752873867901817,\n",
|
|
" n_estimators=78))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-66\" type=\"checkbox\" ><label for=\"sk-estimator-id-66\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>Pipeline</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('steps',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">steps </td>\n",
|
|
" <td class=\"value\">[('preprocess', ...), ('select_features', ...), ...]</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transform_input',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transform_input </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('memory',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">memory </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-67\" type=\"checkbox\" ><label for=\"sk-estimator-id-67\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>preprocess: ColumnTransformer</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.compose.ColumnTransformer.html\">?<span>Documentation for preprocess: ColumnTransformer</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transformers',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transformers </td>\n",
|
|
" <td class=\"value\">[('extend_features_as_polynomial', ...), ('extend_features_as_spline', ...), ...]</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('remainder',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">remainder </td>\n",
|
|
" <td class=\"value\">'drop'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('sparse_threshold',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">sparse_threshold </td>\n",
|
|
" <td class=\"value\">0.3</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('transformer_weights',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">transformer_weights </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose_feature_names_out',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose_feature_names_out </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('force_int_remainder_cols',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">force_int_remainder_cols </td>\n",
|
|
" <td class=\"value\">'deprecated'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-68\" type=\"checkbox\" ><label for=\"sk-estimator-id-68\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>extend_features_as_polynomial</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_polynomial__\"><pre>('selling_price', 'driven_kms')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-69\" type=\"checkbox\" ><label for=\"sk-estimator-id-69\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>PolynomialFeatures</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.PolynomialFeatures.html\">?<span>Documentation for PolynomialFeatures</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_polynomial__extend_features__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('degree',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">degree </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('interaction_only',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">interaction_only </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('include_bias',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">include_bias </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('order',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">order </td>\n",
|
|
" <td class=\"value\">'C'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-70\" type=\"checkbox\" ><label for=\"sk-estimator-id-70\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>StandardScaler</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_polynomial__scale_to_standard__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('copy',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">copy </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_mean',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_mean </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_std',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_std </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-71\" type=\"checkbox\" ><label for=\"sk-estimator-id-71\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>extend_features_as_spline</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_spline__\"><pre>('age',)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-72\" type=\"checkbox\" ><label for=\"sk-estimator-id-72\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>SplineTransformer</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.SplineTransformer.html\">?<span>Documentation for SplineTransformer</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__extend_features_as_spline__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_knots',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_knots </td>\n",
|
|
" <td class=\"value\">4</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('degree',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">degree </td>\n",
|
|
" <td class=\"value\">3</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('knots',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">knots </td>\n",
|
|
" <td class=\"value\">'quantile'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('extrapolation',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">extrapolation </td>\n",
|
|
" <td class=\"value\">'constant'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('include_bias',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">include_bias </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('order',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">order </td>\n",
|
|
" <td class=\"value\">'C'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('sparse_output',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">sparse_output </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-73\" type=\"checkbox\" ><label for=\"sk-estimator-id-73\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>scale_to_standard</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__scale_to_standard__\"><pre>('age',)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-74\" type=\"checkbox\" ><label for=\"sk-estimator-id-74\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>StandardScaler</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__scale_to_standard__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('copy',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">copy </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_mean',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_mean </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('with_std',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">with_std </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-75\" type=\"checkbox\" ><label for=\"sk-estimator-id-75\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>encode_categoricals_wrt_target</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__encode_categoricals_wrt_target__\"><pre>('fuel_type', 'selling_type', 'transmission')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-76\" type=\"checkbox\" ><label for=\"sk-estimator-id-76\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>TargetEncoder</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.TargetEncoder.html\">?<span>Documentation for TargetEncoder</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocess__encode_categoricals_wrt_target__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('categories',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">categories </td>\n",
|
|
" <td class=\"value\">'auto'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('target_type',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">target_type </td>\n",
|
|
" <td class=\"value\">'continuous'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('smooth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">smooth </td>\n",
|
|
" <td class=\"value\">'auto'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('cv',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">cv </td>\n",
|
|
" <td class=\"value\">5</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('shuffle',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">shuffle </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">11990</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-77\" type=\"checkbox\" ><label for=\"sk-estimator-id-77\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>select_features: SequentialFeatureSelector</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"select_features__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('estimator',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">estimator </td>\n",
|
|
" <td class=\"value\">RandomForestR...estimators=10)</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('k_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">k_features </td>\n",
|
|
" <td class=\"value\">(4, ...)</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('forward',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">forward </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('floating',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">floating </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('scoring',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">scoring </td>\n",
|
|
" <td class=\"value\">'neg_mean_absolute_percentage_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('cv',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">cv </td>\n",
|
|
" <td class=\"value\">4</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('pre_dispatch',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">pre_dispatch </td>\n",
|
|
" <td class=\"value\">'2*n_jobs'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('clone_estimator',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">clone_estimator </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('fixed_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">fixed_features </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('feature_groups',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">feature_groups </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-78\" type=\"checkbox\" ><label for=\"sk-estimator-id-78\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>estimator: RandomForestRegressor</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"select_features__estimator__\"><pre>RandomForestRegressor(max_depth=8, max_features='sqrt', n_estimators=10)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-79\" type=\"checkbox\" ><label for=\"sk-estimator-id-79\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>RandomForestRegressor</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"select_features__estimator__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_estimators',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_estimators </td>\n",
|
|
" <td class=\"value\">10</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('criterion',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">criterion </td>\n",
|
|
" <td class=\"value\">'squared_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_depth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_depth </td>\n",
|
|
" <td class=\"value\">8</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_split',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_split </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_leaf </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_weight_fraction_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_weight_fraction_leaf </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_features </td>\n",
|
|
" <td class=\"value\">'sqrt'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_leaf_nodes',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_leaf_nodes </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_impurity_decrease',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_impurity_decrease </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('bootstrap',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">bootstrap </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('oob_score',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">oob_score </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('warm_start',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">warm_start </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('ccp_alpha',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">ccp_alpha </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_samples',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_samples </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('monotonic_cst',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">monotonic_cst </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-80\" type=\"checkbox\" ><label for=\"sk-estimator-id-80\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"><div><div>RandomForestRegressor</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regress__\">\n",
|
|
" <div class=\"estimator-table\">\n",
|
|
" <details>\n",
|
|
" <summary>Parameters</summary>\n",
|
|
" <table class=\"parameters-table\">\n",
|
|
" <tbody>\n",
|
|
" \n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_estimators',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_estimators </td>\n",
|
|
" <td class=\"value\">78</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('criterion',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">criterion </td>\n",
|
|
" <td class=\"value\">'squared_error'</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_depth',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_depth </td>\n",
|
|
" <td class=\"value\">10</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_split',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_split </td>\n",
|
|
" <td class=\"value\">2</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_samples_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_samples_leaf </td>\n",
|
|
" <td class=\"value\">1</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_weight_fraction_leaf',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_weight_fraction_leaf </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"user-set\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_features',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_features </td>\n",
|
|
" <td class=\"value\">0.4752873867901817</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_leaf_nodes',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_leaf_nodes </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('min_impurity_decrease',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">min_impurity_decrease </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('bootstrap',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">bootstrap </td>\n",
|
|
" <td class=\"value\">True</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('oob_score',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">oob_score </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">n_jobs </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">random_state </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">verbose </td>\n",
|
|
" <td class=\"value\">0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('warm_start',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">warm_start </td>\n",
|
|
" <td class=\"value\">False</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('ccp_alpha',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">ccp_alpha </td>\n",
|
|
" <td class=\"value\">0.0</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('max_samples',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">max_samples </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
"\n",
|
|
" <tr class=\"default\">\n",
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|
" onclick=\"copyToClipboard('monotonic_cst',\n",
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|
" ></i></td>\n",
|
|
" <td class=\"param\">monotonic_cst </td>\n",
|
|
" <td class=\"value\">None</td>\n",
|
|
" </tr>\n",
|
|
" \n",
|
|
" </tbody>\n",
|
|
" </table>\n",
|
|
" </details>\n",
|
|
" </div>\n",
|
|
" </div></div></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
|
|
" // Get the parameter prefix from the closest toggleable content\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
|
|
"\n",
|
|
" const originalStyle = element.style;\n",
|
|
" const computedStyle = window.getComputedStyle(element);\n",
|
|
" const originalWidth = computedStyle.width;\n",
|
|
" const originalHTML = element.innerHTML.replace('Copied!', '');\n",
|
|
"\n",
|
|
" navigator.clipboard.writeText(fullParamName)\n",
|
|
" .then(() => {\n",
|
|
" element.style.width = originalWidth;\n",
|
|
" element.style.color = 'green';\n",
|
|
" element.innerHTML = \"Copied!\";\n",
|
|
"\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" })\n",
|
|
" .catch(err => {\n",
|
|
" console.error('Failed to copy:', err);\n",
|
|
" element.style.color = 'red';\n",
|
|
" element.innerHTML = \"Failed!\";\n",
|
|
" setTimeout(() => {\n",
|
|
" element.innerHTML = originalHTML;\n",
|
|
" element.style = originalStyle;\n",
|
|
" }, 2000);\n",
|
|
" });\n",
|
|
" return false;\n",
|
|
"}\n",
|
|
"\n",
|
|
"document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|
" const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
|
|
"\n",
|
|
" element.setAttribute('title', fullParamName);\n",
|
|
"});\n",
|
|
"</script></body>"
|
|
],
|
|
"text/plain": [
|
|
"Pipeline(steps=[('preprocess',\n",
|
|
" ColumnTransformer(transformers=[('extend_features_as_polynomial',\n",
|
|
" Pipeline(steps=[('extend_features',\n",
|
|
" PolynomialFeatures(include_bias=False)),\n",
|
|
" ('scale_to_standard',\n",
|
|
" StandardScaler())]),\n",
|
|
" ('selling_price',\n",
|
|
" 'driven_kms')),\n",
|
|
" ('extend_features_as_spline',\n",
|
|
" SplineTransformer(include_bias=False,\n",
|
|
" knots='quantile',\n",
|
|
" n_knots=4),\n",
|
|
" ('age',)),\n",
|
|
" ('s...\n",
|
|
" ('fuel_type', 'selling_type',\n",
|
|
" 'transmission'))])),\n",
|
|
" ('select_features',\n",
|
|
" SequentialFeatureSelector(cv=4,\n",
|
|
" estimator=RandomForestRegressor(max_depth=8,\n",
|
|
" max_features='sqrt',\n",
|
|
" n_estimators=10),\n",
|
|
" floating=True, k_features=(4, 8),\n",
|
|
" scoring='neg_mean_absolute_percentage_error')),\n",
|
|
" ('regress',\n",
|
|
" RandomForestRegressor(max_depth=10,\n",
|
|
" max_features=0.4752873867901817,\n",
|
|
" n_estimators=78))])"
|
|
]
|
|
},
|
|
"execution_count": 83,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"pipeline = build_pipeline_optimized_best()\n",
|
|
"pipeline"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 84,
|
|
"id": "02ed0ad8-4068-4007-97a1-ffad1a79839e",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"{'preprocess__remainder': 'drop',\n",
|
|
" 'preprocess__sparse_threshold': 0.3,\n",
|
|
" 'preprocess__transformer_weights': None,\n",
|
|
" 'preprocess__extend_features_as_spline': SplineTransformer(include_bias=False, knots='quantile', n_knots=4),\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features': PolynomialFeatures(include_bias=False),\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__degree': 2,\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__include_bias': False,\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__interaction_only': False,\n",
|
|
" 'preprocess__extend_features_as_polynomial__extend_features__order': 'C',\n",
|
|
" 'preprocess__extend_features_as_polynomial__scale_to_standard__with_mean': True,\n",
|
|
" 'preprocess__extend_features_as_polynomial__scale_to_standard__with_std': True,\n",
|
|
" 'preprocess__extend_features_as_spline__degree': 3,\n",
|
|
" 'preprocess__extend_features_as_spline__extrapolation': 'constant',\n",
|
|
" 'preprocess__extend_features_as_spline__include_bias': False,\n",
|
|
" 'preprocess__extend_features_as_spline__knots': 'quantile',\n",
|
|
" 'preprocess__extend_features_as_spline__n_knots': 4,\n",
|
|
" 'preprocess__extend_features_as_spline__order': 'C',\n",
|
|
" 'preprocess__extend_features_as_spline__sparse_output': False,\n",
|
|
" 'preprocess__scale_to_standard__with_mean': True,\n",
|
|
" 'preprocess__scale_to_standard__with_std': True,\n",
|
|
" 'select_features__cv': 4,\n",
|
|
" 'select_features__feature_groups': None,\n",
|
|
" 'select_features__fixed_features': None,\n",
|
|
" 'select_features__floating': True,\n",
|
|
" 'select_features__forward': True,\n",
|
|
" 'select_features__k_features': (4, 8),\n",
|
|
" 'select_features__scoring': 'neg_mean_absolute_percentage_error',\n",
|
|
" 'regress__bootstrap': True,\n",
|
|
" 'regress__ccp_alpha': 0.0,\n",
|
|
" 'regress__criterion': 'squared_error',\n",
|
|
" 'regress__max_depth': 10,\n",
|
|
" 'regress__max_features': 0.4752873867901817,\n",
|
|
" 'regress__max_leaf_nodes': None,\n",
|
|
" 'regress__max_samples': None,\n",
|
|
" 'regress__min_impurity_decrease': 0.0,\n",
|
|
" 'regress__min_samples_leaf': 1,\n",
|
|
" 'regress__min_samples_split': 2,\n",
|
|
" 'regress__min_weight_fraction_leaf': 0.0,\n",
|
|
" 'regress__monotonic_cst': None,\n",
|
|
" 'regress__n_estimators': 78,\n",
|
|
" 'regress__oob_score': False,\n",
|
|
" 'regress__random_state': None}"
|
|
]
|
|
},
|
|
"execution_count": 84,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"model_params = filter_params(\n",
|
|
" pipeline.get_params(),\n",
|
|
" include={\n",
|
|
" 'preprocess': (False, PREPROCESS_AUGMENTING_TRANSFORMER_PARAMS_COMMON_INCLUDE.copy()),\n",
|
|
" 'select_features': (False, FEATURE_SELECTOR_PARAMS_COMMON_INCLUDE.copy()),\n",
|
|
" 'regress': (False, True),\n",
|
|
" },\n",
|
|
" exclude={\n",
|
|
" 'preprocess': PREPROCESS_AUGMENTING_TRANSFORMER_PARAMS_COMMON_EXCLUDE.copy(),\n",
|
|
" 'select_features': FEATURE_SELECTOR_PARAMS_COMMON_EXCLUDE,\n",
|
|
" 'regress': RANDOM_FOREST_REGRESSOR_PARAMS_COMMON_EXCLUDE,\n",
|
|
" },\n",
|
|
")\n",
|
|
"model_params"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 85,
|
|
"id": "5c8b4d0c-f777-4c2a-8263-b2dda900a577",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"_ = pipeline.fit(df_orig_features, df_target.iloc[:, 0])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 86,
|
|
"id": "e01a1fe1-0e58-418a-9f05-7f4d304da7e5",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"application/vnd.jupyter.widget-view+json": {
|
|
"model_id": "877854c58cbf4e3c959298d0959eea39",
|
|
"version_major": 2,
|
|
"version_minor": 0
|
|
},
|
|
"text/plain": [
|
|
"Downloading artifacts: 0%| | 0/7 [00:00<?, ?it/s]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"🏃 View run Final model at: http://localhost:5000/#/experiments/1/runs/4c7f04ad9ee94237b44f60b6eb14b41e\n",
|
|
"🧪 View experiment at: http://localhost:5000/#/experiments/1\n",
|
|
"🏃 View run Models at: http://localhost:5000/#/experiments/1/runs/4e4a9094cb3c4eed9d4a056a27cadcd9\n",
|
|
"🧪 View experiment at: http://localhost:5000/#/experiments/1\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"mlflow_log_model(\n",
|
|
" pipeline,\n",
|
|
" model_params=model_params,\n",
|
|
" metrics=None,\n",
|
|
" nested_run_name='Final model',\n",
|
|
" model_signature=mlflow_model_signature,\n",
|
|
" input_example=df_orig_features.head(MODEL_INOUT_EXAMPLE_SIZE),\n",
|
|
" pip_requirements=MODEL_PIP_REQUIREMENTS_PATH,\n",
|
|
" #global_comment_file_path=(\n",
|
|
" # model_comment_path\n",
|
|
" # if model_comment_path is not None\n",
|
|
" # else (BASE_PATH / 'research' / model_comment_relpath)\n",
|
|
" #),\n",
|
|
" extra_logs_handler=(build_extra_logs_handler_selected_columns_from_sequential_feature_selector(pipeline.named_steps['select_features']),),\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "cabd929a-ed4f-483a-9568-a9432e34c172",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"jupytext": {
|
|
"formats": "py:percent,ipynb"
|
|
},
|
|
"kernelspec": {
|
|
"display_name": "python3_venv",
|
|
"language": "python",
|
|
"name": "python3_venv"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.12.10"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|