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@ -540,8 +540,7 @@ def evaluate_model_CV(
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fit_kwargs["sample_weight"] = weight
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total_fold_num += 1
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val_loss_folds.append(val_loss_i)
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if log_training_metric or not isinstance(eval_metric, str):
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log_metric_folds.append(metric_i)
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log_metric_folds.append(metric_i)
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train_time += train_time_i
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pred_time += pred_time_i
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if time.time() - start_time >= budget:
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