def _loss(self, X: np.ndarray, y: np.ndarray) -> float:
    '\n        Evaluate performance under MSE loss function\n\n        Parameters\n        ----------\n        X : ndarray of shape (n_samples, n_features)\n            Test samples\n\n        y : ndarray of shape (n_samples, )\n            True labels of test samples\n\n        Returns\n        -------\n        loss : float\n            Performance under MSE loss function\n        '
    return self.vander_linear_.loss(self.__transform(X), y)
Evaluate performance under MSE loss function

Parameters
----------
X : ndarray of shape (n_samples, n_features)
    Test samples

y : ndarray of shape (n_samples, )
    True labels of test samples

Returns
-------
loss : float
    Performance under MSE loss function
def _loss(self, X: np.ndarray, y: np.ndarray) -> float:
    '\n        Evaluate performance under MSE loss function\n\n        Parameters\n        ----------\n        X : ndarray of shape (n_samples, n_features)\n            Test samples\n\n        y : ndarray of shape (n_samples, )\n            True labels of test samples\n\n        Returns\n        -------\n        loss : float\n            Performance under MSE loss function\n        '
    return self.vander_linear_.loss(self.__transform(X), y)