def inverse_transform(self, X):
        check_is_fitted(self, 'scale_')
        X = check_array(X, accept_sparse=('csr', 'csc'), copy=self.copy,
                        ensure_2d=False, estimator=self, dtype=FLOAT_DTYPES)
        if X.ndim == 1:
            warnings.warn(DEPRECATION_MSG_1D, DeprecationWarning)

        if sparse.issparse(X):
            inplace_column_scale(X, self.scale_)
        else:
            X *= self.scale_
        return X
Scale back the data to the original representation
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/preprocessing/data.py/MaxAbsScaler.inverse_transform