be24159959672c32abb31697e721d96ae6ffaf97,keras/wrappers/scikit_learn.py,KerasRegressor,predict,#KerasRegressor#Any#,229

Before Change

        preds : array-like, shape = (n_samples)
            Predictions.
        
        return self.compiled_model_.predict(
            X, batch_size=self.test_batch_size, verbose=self.verbose).ravel()

    def score(self, X, y):
        
        Returns the mean accuracy on the given test data and labels.

After Change

                Predictions.
        """
        kwargs = self.filter_sk_params(Sequential.predict, kwargs)
        return self.model.predict(X, **kwargs)

    def score(self, X, y, **kwargs):
        """Returns the mean accuracy on the given test data and labels.

Instances