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

Before Change

            callbacks=self.callbacks)

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

        return history

After Change

                details about the training history at each epoch.
        """

        if self.build_fn is None:
            self.model = self.__call__(**self.filter_sk_params(self.__call__))
        elif not isinstance(self.build_fn, types.FunctionType):
            self.model = self.build_fn(
                **self.filter_sk_params(self.build_fn.__call__))
        else:
            self.model = self.build_fn(**self.filter_sk_params(self.build_fn))

        if self.model.loss.__name__ == "categorical_crossentropy"\
                and len(y.shape) != 2:
            y = to_categorical(y)

Instances