我无法从 sklearn 库中导入 cross_validation；我使用 sklearn 版本 0.20.0
from sklearn import cross_validation
后面的代码:
features_train, features_test, labels_train, labels_test = cross_validation.train_test_split(word_data, authors, test_size=0.1, random_state=42)
错误:
Traceback (most recent call last):
File "D:\me\M.Sc\Udacity_ML_course\ud120-projects- master\naive_bayes\nb_author_id.py", line 16, in <module>
from email_preprocess import preprocess
File "../tools/email_preprocess.py", line 8, in <module>
from sklearn import cross_validation
ImportError: cannot import name cross_validation
最佳答案
发生这种情况是因为 sklearn 中没有 cross_validation 对象。您可能正在寻找更像 cross_validate 函数的东西。您可以通过访问它
from sklearn.model_selection import cross_validate
但是，您不需要导入任何交叉验证软件来执行训练-测试拆分，因为这只会从数据中随机抽样。尝试
from sklearn.model_selection import train_test_split
其次是
features_train, features_test, labels_train, labels_test = train_test_split(word_data, authors, test_size=0.1, random_state=42)
关于python - 导入错误 : cannot import name cross_validation，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/53011739/