eland/ml/transformers/lightgbm.py [161:172]:
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        if not self.is_objective_supported():
            raise ValueError(f"Unsupported objective '{self._objective}'")

        forest = self.build_forest()
        return Ensemble(
            feature_names=self._feature_names,
            trained_models=forest,
            output_aggregator=self.build_aggregator_output(),
            classification_labels=self._classification_labels,
            classification_weights=self._classification_weights,
            target_type=self.determine_target_type(),
        )
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eland/ml/transformers/xgboost.py [178:189]:
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        if not self.is_objective_supported():
            raise ValueError(f"Unsupported objective '{self._objective}'")

        forest = self.build_forest()
        return Ensemble(
            feature_names=self._feature_names,
            trained_models=forest,
            output_aggregator=self.build_aggregator_output(),
            classification_labels=self._classification_labels,
            classification_weights=self._classification_weights,
            target_type=self.determine_target_type(),
        )
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