Question

我在Ubuntu 14.04中使用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？

Answer 1

它必须与renaming and depreaction of cross_validation submodule to model_selection相关。尝试替换cross_validation - ＆gt; model_selection

Answer 2

train_test_split现在处于model_selection中。只需输入：

from sklearn.model_selection import train_test_split

它应该工作

Answer 3

我想交叉选择不再有效。我们应该改用模型选择。您可以编写运行%c

就这样。

Answer 4

可能是由于sklearn.cross_validation弃用。请用sklearn.model_selection替换sklearn.cross_validation

参考- https://github.com/amueller/scipy_2015_sklearn_tutorial/issues/60

Answer 5

sklearn.cross_validation

已更改为

sklearn.model_selection

在此处查看文档： https://scikit-learn.org/stable/modules/cross_validation.html

Answer 6

将数据集分为训练集和测试集

from sklearn.model_selection import train_test_split

Answer 7

过去：from sklearn.cross_validation （此软件包从0.20开始在0.18版本中已弃用，已更改为from sklearn import model_selection。）

当前：from sklearn import model_selection

示例2：

过去：from sklearn.cross_validation import cross_val_score（不建议使用版本0.18）

当前：from sklearn.model_selection import cross_val_score

Answer 8

sklearn.cross_validation现在更改为sklearn.model_selection

只是改变

sklearn.cross_validation

到

sklearn.model_selection

Answer 9

如果您的代码需要运行各种版本，则可以执行以下操作：

import sklearn
if sklearn.__version__ > '0.18':
    from sklearn.model_selection import train_test_split
else:
    from sklearn.cross_validation import train_test_split

这不是很理想，因为您将软件包版本作为字符串进行比较，通常可以，但并非总是如此。如果您愿意安装packaging，这是一种更好的方法：

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

Answer 10

确保您已安装Anaconda，然后安装create a virtualenv using conda。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

Answer 11

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

Answer 12

cross_validation早已过时，请尝试使用model_selection将其切换出

Answer 13

像这样更改代码

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

Answer 14

sklearn.cross_validation现在更改为sklearn.model_selection

只需使用

from sklearn.model_selection import train_test_split

我认为这会起作用。

Answer 15

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

ImportError：没有名为sklearn.cross_validation的模块

15 个答案: