def predict_log_proba(self, X):
        proba = self.predict_proba(X)
        if self.n_outputs_ == 1:
            return np.log(proba)
        else:
            return [np.log(p) for p in proba]
Return log probability estimates for the test vectors X.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/dummy.py/DummyClassifier.predict_log_proba