def predict_log_proba(self, X):
        # XXX : can do better to avoid precision overflows
        probas_ = self.predict_proba(X)
        return np.log(probas_)
Return posterior probabilities of classification.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/discriminant_analysis.py/QuadraticDiscriminantAnalysis.predict_log_proba