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