Python 模块“sklearn”没有属性“cross_validation”
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module 'sklearn' has no attribute 'cross_validation'
提问by Naren
I am trying to split my dataset into training and testing dataset, but I am getting this error:
我试图将我的数据集拆分为训练和测试数据集，但出现此错误：
X_train,X_test,Y_train,Y_test = sklearn.cross_validation.train_test_split(X,df1['ENTRIESn_hourly'])
AttributeError Traceback (most recent call last)
<ipython-input-53-5445dab94861> in <module>()
----> 1 X_train,X_test,Y_train,Y_test = sklearn.cross_validation.train_test_split(X,df1['ENTRIESn_hourly'])
AttributeError: module 'sklearn' has no attribute 'cross_validation'
How can I handle this?
我该如何处理？
回答by Brenden Petersen
sklearndoes not automatically import its subpackages. If you only imported via: import sklearn, then it wont work. Import with import sklearn.cross_validationinstead.
sklearn不会自动导入其子包。如果您仅通过以下方式导入：import sklearn，则它将无法正常工作。用import sklearn.cross_validation代替导入。
Furhter, sklearn.cross_validationwill be deprecated in version 0.20. Use sklearn.model_selection.train_test_splitinstead.
此外，sklearn.cross_validation将在 0.20 版中弃用。使用sklearn.model_selection.train_test_split来代替。
回答by gogasca
Try this:
尝试这个：
from sklearn.model_selection import train_test_split
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.33, random_state=101)
回答by Enrique Benito Casado
The equivalent to cross_validation in sklearn is:
sklearn 中 cross_validation 的等价物是：
sklearn.model_selection
回答by Joel K Thomas
"cross_validation" name is now deprecated and was replaced by "model_selection" inside the new anaconda versions. So you can use
“cross_validation”名称现已弃用，并在新 anaconda 版本中由“model_selection”替代。所以你可以使用
from sklearn.model_selection import train_test_split
回答by Rajendra Prasad Taidala
you can try this
你可以试试这个
X_train,X_test,Y_train,Y_test =
sklearn.model_selection.train_test_split(X,boston_df.price)
