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
如果你有需要运行不同版本的代码，你可以这样做:
import sklearn
if sklearn.__version__ > '0.18':
from sklearn.model_selection import train_test_split
else:
from sklearn.cross_validation import train_test_split
但这并不理想，因为您将包版本作为字符串进行比较，这通常有效，但并不总是如此。如果你愿意安装打包，这是一个更好的方法:
from packaging.version import parse
import sklearn
if parse(sklearn.__version__) > parse('0.18'):
from sklearn.model_selection import train_test_split
else:
from sklearn.cross_validation import train_test_split
其他回答
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。
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
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>>> from sklearn.cross_validation import train_test_split
它必须与model_selection的cross_validation子模块的重命名和弃用有关。尝试将cross_validation替换为model_selection
如果你有需要运行不同版本的代码，你可以这样做:
import sklearn
if sklearn.__version__ > '0.18':
from sklearn.model_selection import train_test_split
else:
from sklearn.cross_validation import train_test_split
但这并不理想，因为您将包版本作为字符串进行比较，这通常有效，但并不总是如此。如果你愿意安装打包，这是一个更好的方法:
from packaging.version import parse
import sklearn
if parse(sklearn.__version__) > parse('0.18'):
from sklearn.model_selection import train_test_split
else:
from sklearn.cross_validation import train_test_split
像这样更改代码
# from sklearn.cross_validation import train_test_split
from sklearn.model_selection import train_test_split
