Python 导入错误：没有名为 sklearn.cross_validation 的模块
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ImportError: No module named sklearn.cross_validation
提问by arthurckl
I am using python 2.7 in Ubuntu 14.04. I installed scikit-learn, numpy and matplotlib with these commands:
我在 Ubuntu 14.04 中使用 python 2.7。我使用以下命令安装了 scikit-learn、numpy 和 matplotlib：
sudo apt-get install build-essential python-dev python-numpy \
python-numpy-dev python-scipy libatlas-dev g++ python-matplotlib \
ipython
But when I import these packages:
但是当我导入这些包时：
from sklearn.cross_validation import train_test_split
It returns me this error:
它返回给我这个错误：
ImportError: No module named sklearn.cross_validation
What I need to do?
我需要做什么？
采纳答案by Dima Lituiev
It must relate to the renaming and deprecation of cross_validationsub-module to model_selection. Try substituting cross_validationto model_selection
它必须与cross_validation子模块的重命名和弃用有关model_selection。尝试替换cross_validation为model_selection
回答by Richard Rublev
Make sure you have Anacondainstalled and then create a virtualenv using conda. This will ensure all the imports work
确保您已安装Anaconda，然后使用 conda 创建一个 virtualenv。这将确保所有导入工作
Python 2.7.9 |Anaconda 2.2.0 (64-bit)| (default, Mar 9 2015, 16:20:48)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://binstar.org
>>> from sklearn.cross_validation import train_test_split
回答by nantitv
May be it's due to the deprecation of sklearn.cross_validation. Please replace sklearn.cross_validation with sklearn.model_selection
可能是由于 sklearn.cross_validation 的弃用。请将 sklearn.cross_validation 替换为 sklearn.model_selection
Ref- https://github.com/amueller/scipy_2015_sklearn_tutorial/issues/60
参考- https://github.com/amueller/scipy_2015_sklearn_tutorial/issues/60
回答by ayat ullah sony
train_test_split is now in model_selection. Just type:
train_test_split 现在在 model_selection 中。只需输入：
from sklearn.model_selection import train_test_split
it should work
它应该工作
回答by ROHAN YEOLE
Splitting the dataset into the Training set and Test set
将数据集拆分为训练集和测试集
from sklearn.model_selection import train_test_split
回答by Murat ?ahin
I guess cross selection is not active anymore. We should use instead model selection. You can write it to run, from sklearn.model_selection import train_test_split
我猜交叉选择不再活跃了。我们应该改用模型选择。你可以写它来运行，from sklearn.model_selection import train_test_split
Thats it.
就是这样。
回答by baya prakash reddy
Past : from sklearn.cross_validation(This package is deprecated in 0.18 version from 0.20 onwards it is changed to from sklearn import model_selection).
过去：（from sklearn.cross_validation从 0.20 开始，该软件包在 0.18 版本中已弃用，改为from sklearn import model_selection）。
Present: from sklearn import model_selection
展示： from sklearn import model_selection
Example 2:
示例 2：
Past : from sklearn.cross_validation import cross_val_score(Version 0.18 which is deprecated)
过去：（from sklearn.cross_validation import cross_val_score已弃用的 0.18 版）
Present : from sklearn.model_selection import cross_val_score
展示 ： from sklearn.model_selection import cross_val_score
回答by Asad
sklearn.cross_validation
has changed to
已更改为
sklearn.model_selection
Checkout the documentation here: https://scikit-learn.org/stable/modules/cross_validation.html
在此处查看文档：https: //scikit-learn.org/stable/modules/cross_validation.html
回答by Tanmoy Bhowmick
sklearn.cross_validationis now changed to sklearn.model_selection
sklearn.cross_validation现在改为 sklearn.model_selection
Just use
只需使用
from sklearn.model_selection import train_test_split
I think that will work.
我认为这会奏效。
回答by Aniket Mukherjee
cross_validation was deprecated some time ago, try switching it out with model_selection
cross_validation 前段时间已被弃用，请尝试使用 model_selection 将其切换
