def project_result(self, X):
        """
        First undo normalization and then clip to the user-specified min/max
        range.
        """
        X = np.asarray(X)
        if self.normalizer is not None:
            X = self.normalizer.inverse_transform(X)
        return self.clip(X)
First undo normalization and then clip to the user-specified min/max
        range.