def predict(self, X):
        jll = self._joint_log_likelihood(X)
        return self.classes_[np.argmax(jll, axis=1)]
Perform classification on an array of test vectors X.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/naive_bayes.py/BaseNB.predict