我在Ubuntu 14.04中使用python 2.7。我用以下命令安装了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
但当我导入这些包时：
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？
它必须与cross_validation子模块到model_selection的重命名和弃用有关。尝试将cross_validation替换为model_selection
train_testrongplit现在处于model_selection中。仅类型：
from sklearn.model_selection import train_test_split
它应该工作
我想交叉选择不再处于活动状态。我们应该使用模型选择。你可以把它写下来运行，from sklearn.model_selection import train_test_split
就是这样。
确保安装了Anaconda，然后使用conda创建一个virtualenv。这将确保所有的进口工作
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
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>>> from sklearn.cross_validation import train_test_split
sklearn.cross_validation现在更改为sklearn.model_selection
只需使用
from sklearn.model_selection import train_test_split
我认为这会奏效。
sklearn.cross_validation
已更改为
sklearn.model_selection
请在此处查看文档：https://scikit-learn.org/stable/modules/cross_validation.html
可能是由于sklearn.cross_validation的弃用。请将sklearn.cross_validation替换为sklearn.model_selection
参考-https://github.com/amueller/scipy_2015_sklearn_tutorial/issues/60
将数据集拆分为训练集和测试集
from sklearn.model_selection import train_test_split
过去：from sklearn.cross_validation(此软件包在0.18版本中已弃用，从0.20开始，它已更改为from sklearn import model_selection(。
出席：from sklearn import model_selection
示例2:
过去：from sklearn.cross_validation import cross_val_score(版本0.18，已弃用(
当前：from sklearn.model_selection import cross_val_score
sklearn.cross_validation现在更改为sklearn.model_selection
只需更改
sklearn.cross_validation
至
sklearn.model_selection
cross_validation不再可用。
尝试使用model_selection而不是cross_validation:
from sklearn.model_selection import train_test_split
如果您有需要运行各种版本的代码，您可以执行以下操作：
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，但并不总是有效。如果你愿意安装packaging，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
train_test_split是模块sklearn.model_selection的一部分，因此，您可能需要从model_selection 导入模块
代码：
from sklearn.model_selection import train_test_split
cross_validation在一段时间前被弃用，请尝试使用model_selection 将其切换出来