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fixing trainable and update function, completing NOTE (#566)
* fix checkpoint naming + trial id for non-ray mode, fix the bug in running test mode, delete all the checkpoints in non-ray mode * finished testing for checkpoint naming, delete checkpoint, ray, max iter = 1
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@@ -420,7 +420,6 @@ def get_val_loss(
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# fit_kwargs['groups_val'] = groups_val
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# fit_kwargs['X_val'] = X_val
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# fit_kwargs['y_val'] = y_val
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estimator.fit(X_train, y_train, budget, **fit_kwargs)
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val_loss, metric_for_logging, pred_time, _ = _eval_estimator(
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config,
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