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

Before Change

            Returns details about the training history at each epoch.
        
        if len(y.shape) == 1:
            self.classes_ = list(np.unique(y))
            if self.loss == "categorical_crossentropy":
                y = to_categorical(y)
        else:
            self.classes_ = np.arange(0, y.shape[1])

After Change

        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:

Instances