Fix/val_sample_weight error for models inherited from RegressionModel #2626
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madtoinou
requested changes
Dec 30, 2024
| @@ -7,6 +7,8 @@ but cannot always guarantee backwards compatibility. Changes that may **break co | |||
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| [Full Changelog](https://github.com/unit8co/darts/compare/0.31.0...master) | |||
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| - Fix the bug in [#2579 ](https://github.com/unit8co/darts/issues/2579) that causes an error when `val_sample_weight` is set in the CatBoost and XGBoost models. | |||
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Suggested change
| - Fix the bug in [#2579 ](https://github.com/unit8co/darts/issues/2579) that causes an error when `val_sample_weight` is set in the CatBoost and XGBoost models. | |
| - Fix a bug in `RegressionModel` when `val_sample_weight` is used with a single timeseries. [#2626](https://github.com/unit8co/darts/pull/2626) by [Kylin Schmidt](https://github.com/kylinschmidt). |
| @@ -1403,7 +1405,7 @@ ts: TimeSeries = AirPassengers().load() | |||
| ```python | |||
| # Assuming a multivariate TimeSeries named series with 3 columns or variables. | |||
| # To apply fn to columns with names '0' and '2': | |||
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Can you revert this change and the others below?
| @@ -588,7 +588,7 @@ def _add_val_set_to_kwargs( | |||
| val_weights = val_weights or None | |||
| else: | |||
| val_sets = [(val_samples, val_labels)] | |||
| val_weights = val_weight | |||
| val_weights = [val_weight] | |||
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## master #2626 +/- ##
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- Coverage 94.24% 94.19% -0.06%
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Files 141 141
Lines 15463 15463
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- Hits 14573 14565 -8
- Misses 890 898 +8 ☔ View full report in Codecov by Sentry. |
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Checklist before merging this PR:
Fix the bug in #2579 that causes an error when
val_sample_weightis set in the CatBoost and XGBoost models.Summary
The CatBoost and XGBoost models, which inherit from the RegressionModel class, encounter an error when setting val_sample_weight. This issue is resolved by modifying the _add_val_set_to_kwargs method in RegressionModel, changing val_weights = val_weight to val_weights = [val_weight].
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