[英]Confusion matrix “Can't handle mix of multiclass and unkown”
My confusion matrix is showing up an error that I can't understand. 我的混淆矩阵显示出一个我无法理解的错误。 I want a confusion matrix to show the confusion between two arrays, y_pred
and y_test
. 我想要一个混淆矩阵来显示两个数组y_pred
和y_test
之间的混淆。
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix, roc_curve, auc
from sklearn.metrics import accuracy_score
import pylab as pl
# Code that fills up two numpy arrays, y_test and y_pred with integers
print y_test.shape
print y_pred.shape
cm = confusion_matrix(y_test,y_pred)
plt.matshow(cm)
plt.title('Confusion matrix')
plt.colorbar()
plt.ylabel('True label')
plt.xlabel('Predicted label')
plt.show()
The error is: 错误是:
Traceback (most recent call last):
File "C:\work_asaaki\code\test_samme_46_classes_unconfused.py", line 159, in <module>
cm = confusion_matrix(y_test,y_pred)
File "C:\Anaconda\lib\site-packages\sklearn\metrics\metrics.py", line 742, in confusion_matrix
y_type, y_true, y_pred = _check_clf_targets(y_true, y_pred)
File "C:\Anaconda\lib\site-packages\sklearn\metrics\metrics.py", line 115, in _check_clf_targets
"".format(type_true, type_pred))
ValueError: Can't handle mix of multiclass and unknown
What does the error mean? 错误是什么意思? When I print out y_pred.shape
and y_test.shape
, I get the same shape, (318L). 当我打印出y_pred.shape
和y_test.shape
,我得到相同的形状,(318L)。 The values of both arrays range between 0 and 29. 两个数组的值介于0到29之间。
Never mind, I found the answer, it was quite simple. 没关系,我找到了答案,这很简单。 The problem was that in the code (not shown), I had populated y_pred as a numpy array using dtype=object
, liked this: 问题是在代码(未显示)中,我使用dtype=object
将y_pred填充为numpy数组,喜欢这样:
y_pred = np.array(pickle.load(file("PATH_TO_FILE")), dtype=object)
I removed the dtype=object
part and it worked fine. 我删除了dtype=object
部分,它工作正常。
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