ввести MLFlow в работу

mlflow/.gitignore

@@ -0,0 +1,2 @@
+mlruns.sqlite
+mlartifacts/

requirements.txt

@@ -2,6 +2,7 @@ bokeh >=3.7.2,<4
 ipykernel >=6.30.1,<7
 ipympl ~=0.9.6
 matplotlib >=3.10.1,<4
+mlflow>=2.16,<2.22
 numpy >=2.2.6,<3
 pandas >=2.3.1,<3
 scipy >=1.15.3,<2

run_mlflow_server.sh

@@ -0,0 +1,13 @@
+# Must be a relative path to be used in an option for mlflow server.
+BACKEND_STORE_DB_PATH="./mlflow/mlruns.sqlite"
+DEFAULT_ARTIFACTS_ROOT="./mlflow/"
+
+if [ ! -e "$BACKEND_STORE_DB_PATH" ]; then
+    printf '%s\n' "Error: '$BACKEND_STORE_DB_PATH' does not exist." >&2
+    exit 1
+fi
+
+mlflow server \
+    --backend-store-uri="sqlite:///$BACKEND_STORE_DB_PATH"  \
+    --default-artifacts-root="$DEFAULT_ARTIFACTS_ROOT" \
+    -p 5000