def bic(self, X):
        return (-2 * self.score(X) * X.shape[0] +
                self._n_parameters() * np.log(X.shape[0]))
Bayesian information criterion for the current model on the input X.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/mixture/gaussian_mixture.py/GaussianMixture.bic