mv_gaussian.py 文件源码

def _fit_boxcox(self, X):
        """ Transform features using a boxcox transform.

        Parameters
        ----------
        X : np.array [n_samples, n_features]
            Untransformed training features.

        Returns
        -------
        X_boxcox : np.array [n_samples, n_features]
            Transformed training features.
        """
        _, self.n_feats = X.shape

        X_boxcox = np.zeros(X.shape)
        lmbda_opt = np.zeros((self.n_feats,))

        for i in range(self.n_feats):
            X_boxcox[:, i], lmbda_opt[i] = boxcox(
                X[:, i] + EPS
            )
        self.lmbda = lmbda_opt
        return X_boxcox