python - RandomForest IndexError : only integers, slices (`:` ), ellipsis (`...` ), numpy.newaxis (`None` ) 和整数或 bool 数组是有效索引

Question

我在 RandomForestClassifier 上使用 sklearn:

class RandomForest(RandomForestClassifier):

    def fit(self, x, y):
        self.unique_train_y,  y_classes = transform_y_vectors_in_classes(y)
        return RandomForestClassifier.fit(self, x, y_classes)

    def predict(self, x):
        y_classes = RandomForestClassifier.predict(self, x)
        predictions = transform_classes_in_y_vectors(y_classes, self.unique_train_y)
        return predictions

    def transform_classes_in_y_vectors(y_classes, unique_train_y):
        cyr = [unique_train_y[predicted_index] for predicted_index in y_classes]
        predictions = np.array(float(cyr))
        return predictions

我收到此错误消息:

IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices

Answer 1

y_classes 似乎包含不是有效索引的值。

当您尝试使用 predicted_index 访问 unique_train_y 时，您会得到异常，因为 predicted_index 不是您认为的那样。

尝试执行以下代码:

cyr = [unique_train_y[predicted_index] for predicted_index in range(len(y_classes))] 
# assuming unique_train_y is a list and predicted_index should be integer.