SIENTIAPDE-1430: Introduce static_threshold parameter for static window removal.
This parameter allows customizing the threshold (1-1000) used when rem_static_win is enabled, defaulting to 1 if null. Updates include parameter definition, business rule validation, repository logic for passing the threshold, documentation in README.md and PIPELINE_PARAMS_CHANGELOG.md, and new unit and integration tests.
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@@ -296,6 +296,7 @@ The **TrainModel** workflow orchestrates the complete ML model training pipeline
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"lag_train": {"feature1": 0, "feature2": 2},
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"lag_val": {"feature1": 0, "feature2": 1},
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"rem_static_win": false,
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"static_threshold": null,
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"low_lim": {"feature1": 0.0, "feature2": 0.0},
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"upp_lim": {"feature1": 100.0, "feature2": 100.0},
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"window": 10,
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@@ -359,6 +360,7 @@ The workflow validates comprehensive business rules beyond type checking:
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11. **model_name**: Must be 'Linear Regression' or 'Polynomial Regression'
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12. **Polynomial Regression requires Scaler**: Models with degree > 1 must have a scaler to prevent numerical overflow
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13. **Linear Regression requires degree 1**: Linear models must have degree = 1
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14. **static_threshold**: When `rem_static_win` is true and `static_threshold` has a value, it must be between 1 and 1000 (inclusive). If null, defaults to 1.
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### Cleanup Files Workflow (`cleanup_files.py`)
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@@ -977,6 +979,7 @@ Test scenarios are defined as JSON files in `docs/test-scenarios/`. Each scenari
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| `08-linear-regression-with-limits` | Linear regression with variable limits | `lowLim`/`uppLim` configuration |
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| `09-polynomial-degree2-with-scaler-and-lags` | Complete polynomial scenario | Scaler + lags + degree 2 |
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| `10-linear-regression-with-ar` | Linear regression with autoregressive variable | `includeAr: true` |
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| `11-linear-regression-static-threshold-custom` | Linear regression with custom static threshold | `staticThreshold: 100` |
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#### Scenario File Structure
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@@ -991,6 +994,7 @@ Test scenarios are defined as JSON files in `docs/test-scenarios/`. Each scenari
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"lagTrain": {"feature1": 0, "feature2": 0},
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"lagVal": {"feature1": 0, "feature2": 0},
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"remStaticWin": false,
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"staticThreshold": null,
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"lowLim": {},
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"uppLim": {},
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"window": 0,
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