我使用的是Ubuntu 14.04中的python 2.7。我用这些命令安装了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

但是当我导入这些包时:

from sklearn.cross_validation import train_test_split

它返回给我这个错误:

ImportError: No module named sklearn.cross_validation

我需要做什么?


当前回答

sklearn。Cross_validation现在改为sklearn.model_selection

只改变

sklearn.cross_validation

to

sklearn.model_selection

其他回答

确保你已经安装了Anaconda,然后使用conda创建一个virtualenv。这将确保所有导入工作正常

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.
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>>> from sklearn.cross_validation import train_test_split

Train_test_split现在在model_selection中。类型:

from sklearn.model_selection import train_test_split

应该可以

sklearn.cross_validation

已改为

sklearn.model_selection

在这里查看文档: https://scikit-learn.org/stable/modules/cross_validation.html

像这样更改代码

# from sklearn.cross_validation import train_test_split
from sklearn.model_selection import train_test_split

将数据集分为训练集和测试集

from sklearn.model_selection import train_test_split