def _predict(self, X: np.ndarray) -> np.ndarray:
    '\n        Predict responses for given samples using fitted estimator\n\n        Parameters\n        ----------\n        X : ndarray of shape (n_samples, n_features)\n            Input data to predict responses for\n\n        Returns\n        -------\n        responses : ndarray of shape (n_samples, )\n            Predicted responses of given samples\n        '
    return self.vander_linear_.predict(self.__transform(X))
Predict responses for given samples using fitted estimator

Parameters
----------
X : ndarray of shape (n_samples, n_features)
    Input data to predict responses for

Returns
-------
responses : ndarray of shape (n_samples, )
    Predicted responses of given samples
def _predict(self, X: np.ndarray) -> np.ndarray:
    '\n        Predict responses for given samples using fitted estimator\n\n        Parameters\n        ----------\n        X : ndarray of shape (n_samples, n_features)\n            Input data to predict responses for\n\n        Returns\n        -------\n        responses : ndarray of shape (n_samples, )\n            Predicted responses of given samples\n        '
    return self.vander_linear_.predict(self.__transform(X))