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

Cross_validation在前一段时间已被弃用,请尝试使用model_selection将其替换掉

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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Please check out: http://continuum.io/thanks and https://binstar.org
>>> from sklearn.cross_validation import train_test_split

sklearn。Cross_validation现在改为sklearn.model_selection

只改变

sklearn.cross_validation

to

sklearn.model_selection

将数据集分为训练集和测试集

from sklearn.model_selection import train_test_split

sklearn。Cross_validation现在改为sklearn.model_selection

只使用

from sklearn.model_selection import train_test_split

我想那会有用的。

我猜交叉选择已经不活跃了。我们应该用模型选择来代替。您可以从sklearn编写它来运行。导入train_test_split

这是它。