utils.py 文件源码

def inverse_transform(self, X):
        """Transform data back to its original space, i.e.,
        return an input X_original whose transform would be X
        Parameters
        ----------
        X : array-like, shape (n_samples, n_components)
            New data, where n_samples is the number of samples
            and n_components is the number of components.
        Returns
        -------
        X_original array-like, shape (n_samples, n_features)
        """
        check_is_fitted(self, 'mean_')

        if self.whiten:
            return fast_dot(
                X,
                np.sqrt(self.explained_variance_[:, np.newaxis]) *
                self.components_) + self.mean_
        else:
            return fast_dot(X, self.components_) + self.mean_