be24159959672c32abb31697e721d96ae6ffaf97,keras/wrappers/scikit_learn.py,BaseWrapper,fit,#BaseWrapper#Any#Any#,97

Before Change

        else:
            self.classes_ = np.arange(0, y.shape[1])

        self.compiled_model_ = copy.deepcopy(self.model)
        self.compiled_model_.compile(optimizer=self.optimizer, loss=self.loss)
        history = self.compiled_model_.fit(
            X, y, batch_size=self.train_batch_size, nb_epoch=self.nb_epoch, verbose=self.verbose,
            shuffle=self.shuffle, show_accuracy=self.show_accuracy,
            validation_split=self.validation_split, validation_data=self.validation_data,
            callbacks=self.callbacks)

        self.config_ = self.model.get_config()
        self.weights_ = self.model.get_weights()

After Change

            y = to_categorical(y)

        fit_args = copy.deepcopy(self.filter_sk_params(Sequential.fit))
        fit_args.update(kwargs)

        history = self.model.fit(X, y, **fit_args)

        return history

Instances