6496c605ad12f3eaac3939804ee8bef0b82a2692,src/skmultiflow/bayes/naive_bayes.py,NaiveBayes,predict,#NaiveBayes#Any#,74

Before Change

            A list containing the predicted labels for all instances in X.
        
        
        if not hasattr(self.classifier, "classes_"):
            return [0]
        return self.classifier.predict(X)

    def predict_proba(self, X):
         predict_proba

After Change

        r, _ = get_dimensions(X)
        predictions = deque()
        y_proba = self.predict_proba(X)
        for i in range(r):
            class_val = np.argmax(y_proba[i])
            predictions.append(class_val)
        return np.array(predictions)

    def predict_proba(self, X):
         Predicts the probability of each sample belonging to each one of the

Instances