lmnn.py 文件源码

def transform(self, X=None):
        """Applies the learned transformation to the inputs.

        Parameters
        ----------
        X : array_like
            An array of data samples with shape (n_samples, n_features_in) (default: None, defined when fit is called).

        Returns
        -------
        array_like
            An array of transformed data samples with shape (n_samples, n_features_out).

        """
        if X is None:
            X = self.X_
        else:
            X = check_array(X)

        return X.dot(self.L_.T)