Add model for Alzheimer_regression_Minimum_Energy_Vitctor case with regression problem.

ML_models/trained_data_Alzheimer_regression_Minimum_Energy_Vitctor_regression/fitted_operations/operation_0.pkl

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+oid sha256:b67094a17cade2e20e3be6b28a7cd4a5e7efcbdf635d288822a4bffdfbf0a45a
+size 885273

ML_models/trained_data_Alzheimer_regression_Minimum_Energy_Vitctor_regression/preprocessing/data_preprocessor.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:62b0bc4815d69c019143a23bf72bbf2eedd8f6adf343e7df764fc93e5f234f31
+size 320140

ML_models/trained_data_Alzheimer_regression_Minimum_Energy_Vitctor_regression/trained_data_Alzheimer_regression_Minimum_Energy_Vitctor_regression.json

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+{
+    "total_pipeline_operations": [
+        "lgbmreg"
+    ],
+    "depth": 1,
+    "nodes": [
+        {
+            "operation_id": 0,
+            "operation_type": "lgbmreg",
+            "operation_name": "FedotLightGBMRegressionImplementation",
+            "custom_params": {
+                "boosting_type": "gbdt",
+                "max_depth": -1,
+                "bagging_fraction": 0.1528381042520859,
+                "extra_trees": false,
+                "enable_categorical": true,
+                "use_eval_set": true,
+                "early_stopping_rounds": 12,
+                "n_jobs": 28,
+                "verbose": -1,
+                "colsample_bytree": 0.5788248206790705,
+                "force_col_wise": false,
+                "force_row_wise ": false,
+                "learning_rate": 0.15496815284355012,
+                "min_data_in_leaf": 16,
+                "num_leaves": 161,
+                "objective": "regression",
+                "reg_alpha": 0.03547437984042905,
+                "reg_lambda": 9.583808188745815,
+                "subsample": 0.7361379534526318
+            },
+            "params": {
+                "boosting_type": "gbdt",
+                "max_depth": -1,
+                "bagging_fraction": 0.1528381042520859,
+                "extra_trees": false,
+                "enable_categorical": true,
+                "use_eval_set": true,
+                "early_stopping_rounds": 12,
+                "n_jobs": 28,
+                "verbose": -1,
+                "colsample_bytree": 0.5788248206790705,
+                "force_col_wise": false,
+                "force_row_wise ": false,
+                "learning_rate": 0.15496815284355012,
+                "min_data_in_leaf": 16,
+                "num_leaves": 161,
+                "objective": "regression",
+                "reg_alpha": 0.03547437984042905,
+                "reg_lambda": 9.583808188745815,
+                "subsample": 0.7361379534526318
+            },
+            "nodes_from": [],
+            "fitted_operation_path": [
+                "fitted_operations",
+                "operation_0.pkl"
+            ],
+            "rating": null
+        }
+    ],
+    "preprocessing": [
+        "preprocessing",
+        "data_preprocessor.pkl"
+    ],
+    "descriptive_id": "/n_lgbmreg_{'boosting_type': 'gbdt', 'max_depth': -1, 'bagging_fraction': 0.1528381042520859, 'extra_trees': False, 'enable_categorical': True, 'use_eval_set': True, 'early_stopping_rounds': 12, 'n_jobs': 28, 'verbose': -1, 'colsample_bytree': 0.5788248206790705, 'force_col_wise': False, 'force_row_wise ': False, 'learning_rate': 0.15496815284355012, 'min_data_in_leaf': 16, 'num_leaves': 161, 'objective': 'regression', 'reg_alpha': 0.03547437984042905, 'reg_lambda': 9.583808188745815, 'subsample': 0.7361379534526318}"
+}