0722cbb28234dfb6f38c375fed80d339e9921324,snorkel/learning/utils.py,GridSearch,_fit_st,#GridSearch#Any#Any#Any#Any#Any#Any#,410

Before Change

            if self.Y_train is not None:
                model.train(self.X_train, self.Y_train, **hps)
            else:
                model.train(self.X_train, **hps)

            // Test the model
            run_scores = model.score(X_valid, Y_valid, b=b, beta=beta,
                set_unlabeled_as_neg=set_unlabeled_as_neg,

After Change

            // score printing, best-score checkpointing
            // Note: Need to set the save directory since passing in
            // (X_dev, Y_dev) will by default trigger checkpoint saving
            try:
                model.train(*train_args, X_dev=X_valid, Y_dev=Y_valid, 
                    save_dir=self.save_dir, **hps)
            except:
                model.train(*train_args, **hps)

            // Test the model
            run_scores = model.score(X_valid, Y_valid, b=b, beta=beta,
                set_unlabeled_as_neg=set_unlabeled_as_neg,
                batch_size=eval_batch_size)
            if model.cardinality > 2:

Instances