Python：DeprecationWarning：elementwise ==比较失败；将来会引发错误 [英] Python: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future

问题描述

在尝试udacity课程深度学习任务时，我遇到了一个问题，那就是将模型的预测与训练集的标签进行比较。我正在使用的数组具有以下形状：

While trying out the udacity course deep learning assignment, I came across a problem with comparing the predictions of my model with the labels of training set. The arrays I'm using have shapes:

训练集（200000，28，28）（200000，）

验证集（10000，28，28）（10000，）

测试集（10000，28，28）（10000，）

Training set (200000, 28, 28) (200000,)
Validation set (10000, 28, 28) (10000,)
Test set (10000, 28, 28) (10000,)

但是，使用函数检查准确性时：

However, when checking the accuracy with the function:

def accuracy(predictions, labels):
    return (100.0 * np.sum(np.argmax(predictions, 1) == np.argmax(labels, 1))
          / predictions.shape[0])

给我：

C：\Users\Arslan\Anaconda3\lib\site-packages\ ipykernel_launcher.py:5：DeprecationWarning：elementwise ==比较失败；将来会出现错误。

C:\Users\Arslan\Anaconda3\lib\site-packages\ipykernel_launcher.py:5: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. """

，它给出的所有数据集的准确度均为0％。

And it gives the accuracy as 0% for all datasets.

我认为我们不能使用'=='比较数组。我该如何以正确的方式比较数组？

I think we cannot compare the arrays using '=='. How could I compare the arrays in the right way instead?

推荐答案

我假设此表达式中发生错误：

I assume the error occurs in this expression:

np.sum(np.argmax(predictions, 1) == np.argmax(labels, 1))

您能告诉我们有关这两个数组的信息吗，预测，标签？常用的东西-dtype，形状，一些样本值。也许要多做一步，并显示每个 np.argmax（...）。

can you tell us something about the 2 arrays, predictions, labels? The usual stuff - dtype, shape, some sample values. Maybe go the extra step and show the np.argmax(...) for each.

在 numpy 您可以比较大小相同的数组，但是比较大小不匹配的数组变得更加挑剔：

In numpy you can compare arrays of the same size, but it has become pickier about comparing arrays that don't match in size:

In [522]: np.arange(10)==np.arange(5,15)
Out[522]: array([False, False, False, False, False, False, False, False, False, False], dtype=bool)
In [523]: np.arange(10)==np.arange(5,14)
/usr/local/bin/ipython3:1: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future.
  #!/usr/bin/python3
Out[523]: False

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