ba9eb3d7c7
- Made `date_column` a required field in `TrainModelParams`, ensuring it must be present in the input data. - Updated related documentation in `input-sample.md`, `README.md`, and various test scenarios to reflect the change in requirement. - Adjusted the handling of `date_format` to default to `yyyy-MM-dd HH:mm:ss` if omitted, enhancing usability. - Refined test scenarios to include new examples and ensure compliance with the updated parameter structure. These changes improve the robustness of the model training workflow and clarify the expectations for input data.
40 lines
1.1 KiB
JSON
40 lines
1.1 KiB
JSON
{
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"_description": "Same alternate CSV as scenario 12 (DATA + dd/MM/yyyy); narrow date window for regression coverage. Not a multi-date-column dataset.",
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"experiment_run_id": 1013,
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"variable_columns": [
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"303-WIT-230(Value)"
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],
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"target_variable": "03CV022/CORRENTE_N_M1_PV(Value)",
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"bucket_name": "model-training",
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"file_name": "training_data_dd_mm_yyyy.csv",
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"line_separator": ",",
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"decimal_separator": ".",
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"date_column": "DATA",
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"date_format": "dd/MM/yyyy 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-230(Value)": 0
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},
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"lag_val": {
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"303-WIT-230(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": "01/05/2022 00:00:00",
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"end_date": "31/05/2022 23:59:59",
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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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} |