Reshapes input to patches of the size of classifier's receptive field.

        For example:

        input X shape: [n_samples, n_pixels_y, n_pixels_x, n_bands]

        output: [n_samples * n_pixels_y/receptive_field_y * n_pixels_x/receptive_field_x,
                 receptive_field_y, receptive_field_x, n_bands]

def _to_patches(self, X):
        """
        Reshapes input to patches of the size of classifier's receptive field.

        For example:

        input X shape: [n_samples, n_pixels_y, n_pixels_x, n_bands]

        output: [n_samples * n_pixels_y/receptive_field_y * n_pixels_x/receptive_field_x,
                 receptive_field_y, receptive_field_x, n_bands]
        """

        window = self.patch_size
        asteps = self.patch_size

        if len(X.shape) == 4:
            window += (0,)
            asteps += (1,)

        image_view = rolling_window(X, window, asteps)

        new_shape = image_view.shape

        return image_view, new_shape