(self, X)
"Transform X in the existing embedded space back into the input
        data space and return that transformed output.
        Parameters
        ----------
        X : array, shape (n_samples, n_components)
            New points to be inverse transformed.
        Returns
        -------
        X_new : array, shape (n_samples, n_features)
            Generated data points new data in data space.
"Transform X in the existing embedded space back into the input
        data space and return that transformed output.
        Parameters
        ----------
        X : array, shape (n_samples, n_components)
            New points to be inverse transformed.
        Returns
        -------
        X_new : array, shape (n_samples, n_features)
            Generated data points new data in data space.
Transform X in the existing embedded space back into the input data space and return that transformed output . Parameters ---------- X : array shape ( n_samples n_components ) New points to be inverse transformed . Returns ------- X_new : array shape ( n_samples n_features ) Generated data points new data in data space .
def inverse_transform(self, X):
        """ "Transform X in the existing embedded space back into the input
        data space and return that transformed output.
        Parameters
        ----------
        X : array, shape (n_samples, n_components)
            New points to be inverse transformed.
        Returns
        -------
        X_new : array, shape (n_samples, n_features)
            Generated data points new data in data space.
        """
        if self.parametric_reconstruction:
            return self.decoder.predict(
                np.asanyarray(X), batch_size=self.batch_size, verbose=self.verbose
            )
        else:
            return super().inverse_transform(X)
def inverse_transform ( self , X ) : if self . parametric_reconstruction : return self . decoder . predict ( np . asanyarray ( X ) , batch_size = self . batch_size , verbose = self . verbose ) else : return super ( ) . inverse_transform ( X )