Method inverse_transform

sklearn/preprocessing/_data.py:588–615

Undo the scaling of X according to feature_range. Parameters ---------- X : array-like of shape (n_samples, n_features) Input data that will be transformed. It cannot be sparse. Returns ------- X_original : ndarray of shape (n_samples, n_

(self, X)

        return X

    def inverse_transform(self, X):
        """Undo the scaling of X according to feature_range.

        Parameters
        ----------
        X : array-like of shape (n_samples, n_features)
            Input data that will be transformed. It cannot be sparse.

        Returns
        -------
        X_original : ndarray of shape (n_samples, n_features)
            Transformed data.
        """
        check_is_fitted(self)

        xp, _ = get_namespace(X)

        X = check_array(
            X,
            copy=self.copy,
            dtype=_array_api.supported_float_dtypes(xp, device=device(X)),
            force_writeable=True,
            ensure_all_finite="allow-nan",
        )

        X -= self.min_
        X /= self.scale_
        return X

    def __sklearn_tags__(self):
        tags = super().__sklearn_tags__()