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Release 11 (from main)

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model-plugin-warehouse CI
2026-10-23 18:04:02 +00:00
parent dc12d4e35c
commit efe522474f
11 changed files with 103 additions and 66 deletions
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models/linear_regression/README.md
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@@ -23,7 +23,7 @@ These parameters are defined in the `model.yaml` under `data_model.input_map` an
| `scaler__name` | `'Standard Scaler'` | Name of the scaler to use for scaling the data. Options: 'Standard Scaler' |
| `verbose` | `true` | Enable verbose output during model execution. |
| `steps_order` | `['Discontinuity Treatment', 'Lag Selection', 'Range Selection & Data Removal', 'Static Window Removal', 'Define Variables Limits', 'Normalization', 'Feature Creation', 'Lag Creation']` | Order of the steps to be executed in the pipeline. |
| `nan_treatment` | `'drop'` | The treatment for missing values. Options: 'drop', 'linear interpolation' |
| `nan_treatment` | `'drop'` | The treatment for missing values. Options: 'drop' (default), 'linear interpolation', 'fill linear' (alias) |
| `lag_train` | `{'variable_name': 1}` | The lags for each variable to be applyed during training. |
| `lag_transform` | `{'variable_name': 1}` | The lags for each variable to be applyed during transformation. |
| `start_date` | `'2020-01-01 00:00:00'` | The start date for the dataset. Format: 'YYYY-MM-DD HH:MM:SS' |
@@ -58,6 +58,7 @@ Neither method mutates the passed DataFrames.
- If `variable_columns` is not set, it is inferred during `fit` as all columns except the target.
- Polynomial features are created automatically when `degree > 1`.
- Rows with NaN in any model input get a NaN prediction (the output always has one value per input row); rows with NaN features or NaN target are left out of the fit.
- `clipping` uses Q1/Q3 of the training target when replacing out-of-bounds predictions.
- The wrapper enforces that `wrapper.target` is set before training or retraining; otherwise, a `ValueError` is raised to fail fast when the configuration is incomplete.