def predict(self, X):
        jll = self._joint_log_likelihood(X)
        return self.classes_[np.argmax(jll, axis=1)]
Converts a list of entities and cursor to ProtoRPC (collection) message.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/naive_bayes.py/BaseNB.predict--crossover with--dataset/ETHPy150Open GoogleDeveloperExperts/experts-app-backend/endpoints_proto_datastore/ndb/model.py/EndpointsModel.ToMessageCollection