41 lines
1.0 KiB
JSON
41 lines
1.0 KiB
JSON
{
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"_description": "Naive Timestamp column header; snake_case date_column/date_format and training_data_timestamp_naive.csv.",
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"experiment_run_id": 1016,
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"variable_columns": [
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"303-WIT-200(Value)"
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],
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"target_variable": "03CV020/CORRENTE_N_M1_PV(Value)",
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"bucket_name": "model-training",
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"file_name": "training_data_timestamp_naive.csv",
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"line_separator": ",",
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"decimal_separator": ".",
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"date_column": "Timestamp",
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"date_format": "yyyy-MM-dd HH:mm:ss",
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"train_size": 80,
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"shuffle": true,
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"random_state": 42,
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"model_name": "Linear Regression",
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"model_type": "linear_regression",
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"data_model_kwargs": {
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"lag_train": {
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"303-WIT-200(Value)": 0
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},
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"lag_val": {
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"303-WIT-200(Value)": 0
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},
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"nan_treatment": "drop",
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"rem_static_win": false,
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"static_threshold": null,
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"start_date": null,
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"end_date": null,
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"support_filters": {},
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"removed_intervals": []
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},
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"model_kwargs": {
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"degree": 1,
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"interaction_only": false,
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"scaler_name": "None"
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},
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"opt_params": {}
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}
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