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sientia-dataops-model-manager/docs/test-scenarios/04-polynomial-regression-degree3.json

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{
"_description": "Regressão polinomial de grau 3 com scaler",
"experiment_run_id": 1004,
"variable_columns": [
"303-WIT-200(Value)"
],
"target_variable": "03CV020/CORRENTE_N_M1_PV(Value)",
"bucket_name": "model-training",
"file_name": "training_data.csv",
"line_separator": ",",
"decimal_separator": ".",
"date_column": "timestamp",
"date_format": "yyyy-MM-dd HH:mm:ss",
"train_size": 80,
"shuffle": true,
"random_state": 42,
"model_name": "Polynomial Regression",
"model_type": "polynomial_regression",
"data_model_kwargs": {
"lag_train": {
"303-WIT-200(Value)": 0
},
"lag_val": {
"303-WIT-200(Value)": 0
},
"nan_treatment": "drop",
"rem_static_win": false,
"static_threshold": null,
"start_date": null,
"end_date": null,
"support_filters": {},
"removed_intervals": []
},
"model_kwargs": {
"degree": 3,
"interaction_only": false,
"scaler_name": "Standard Scaler"
},
"opt_params": {}
}