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fixes after rebase
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  • autoPyTorch/pipeline/components/training/trainer

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autoPyTorch/pipeline/components/training/trainer/__init__.py

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@@ -351,7 +351,7 @@ def _fit(self, X: Dict[str, Any], y: Any = None, **kwargs: Any) -> 'TrainerChoic
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scheduler=X['lr_scheduler'],
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task_type=STRING_TO_TASK_TYPES[X['dataset_properties']['task_type']],
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labels=labels,
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step_interval=X['step_interval']
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step_interval=X['step_interval'],
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numerical_columns=X['dataset_properties']['numerical_columns'] if 'numerical_columns' in X[
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'dataset_properties'] else None
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)

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