From c16caf2e6ad537336894ee9a170046ed51625200 Mon Sep 17 00:00:00 2001
From: syropiatovvv <syrslava@yandex.ru>
Date: Sat, 1 Nov 2025 21:21:52 +0300
Subject: [PATCH] =?UTF-8?q?=D1=81=D0=B4=D0=B5=D0=BB=D0=B0=D1=82=D1=8C=20?=
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---
 research/research.py | 18 +++++++-----------
 1 file changed, 7 insertions(+), 11 deletions(-)

diff --git a/research/research.py b/research/research.py
index 9d6741b..24d2cca 100644
--- a/research/research.py
+++ b/research/research.py
@@ -68,6 +68,7 @@ import mlflow.sklearn
 import mlxtend.feature_selection
 import mlxtend.plotting
 import optuna
+import optuna.samplers
 import sklearn.compose
 import sklearn.ensemble
 import sklearn.metrics
@@ -714,8 +715,9 @@ def regressor_hyperparams_objective(trial):
 # optuna study:
 
 # %%
-optuna_study = optuna.create_study(direction='minimize')
-optuna_study.optimize(regressor_hyperparams_objective, n_trials=64, timeout=120.)
+optuna_sampler = optuna.samplers.TPESampler(seed=0x0A1C)
+optuna_study = optuna.create_study(sampler=optuna_sampler, direction='minimize')
+optuna_study.optimize(regressor_hyperparams_objective, n_trials=24)
 
 # %% [markdown]
 # Количество выполненных trials:
@@ -724,19 +726,13 @@ optuna_study.optimize(regressor_hyperparams_objective, n_trials=64, timeout=120.
 len(optuna_study.trials)
 
 # %% [markdown]
-# Лучшие найдённые гиперпараметры (недетерминированы, один из результатов записан явно):
+# Лучшие найдённые гиперпараметры:
 
 # %%
-optuna_study.best_params
+repr(optuna_study.best_params)
 
 # %%
-regressor_best_params = {
-    #'n_estimators': 51,
-    'n_estimators': 50,
-    'max_depth': 11,
-    #'max_features': 0.44655290756636146,
-    'max_features': 0.45,
-}
+regressor_best_params = dict(optuna_study.best_params.items())
 
 # %% [markdown]
 # Составной пайплайн: