scikit-learn : ValueError: not enough values to unpack (expected 2, got 1)

Question

sklearn的最新版本中有一个check_array函数用于计算mean absolute percentage error (MAPE)，但它的工作方式似乎与以前的版本不同。

import numpy as np
from sklearn.utils import check_array

def calculate_mape(y_true, y_pred): 
    y_true, y_pred = check_array(y_true, y_pred)

    return np.mean(np.abs((y_true - y_pred) / y_true)) * 100
y_true = [3, -0.5, 2, 7]; y_pred = [2.5, -0.3, 2, 8]
calculate_mape(y_true, y_pred)

返回错误：ValueError: not enough values to unpack (expected 2, got 1)。这个错误有什么修复方法吗？

Answer 1

似乎

check_array

Returns 一个对象

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scikit-learn : ValueError: not enough values to unpack (expected 2, got 1)

scikit-learn : ValueError: not enough values to unpack (expected 2, got 1)

python

python-3.x

scikit-learn

sklearn-pandas