6bd30e3328
- Updated `pyproject.toml` to include new linting rules for end-to-end tests. - Modified `requirements-dev.txt` to add dependencies for E2E testing with `testcontainers` and `requests`. - Refactored multiple JSON test scenario files to standardize structure, including new fields for `experiment_run_id`, `bucket_name`, and `file_name`. - Improved model training parameters in `train_model_params.py` to use `experiment_name` directly. - Adjusted `data_manager_repository.py` to utilize the updated `experiment_name` for logging. These changes improve the organization and clarity of regression model tests and enhance the overall testing framework.
40 lines
990 B
JSON
40 lines
990 B
JSON
{
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"_description": "Regressão linear com lags de treino e validação",
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"experiment_run_id": 1005,
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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.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)": 5
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},
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"lag_val": {
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"303-WIT-200(Value)": 3
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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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} |