ImportError No module named sklearn cross validation

Question

I am using python 2 7 in Ubuntu 14 04  I installed scikit-learn  numpy and matplotlib with these commands    sudo apt-get install build-essential python-dev python-numpy   python-numpy-dev python-scipy libatlas-dev g   python-matplotlib   ipython   But when I import these packages   from sklearn cross validation import train test split   It returns me this error   ImportError  No module named sklearn cross validation   What I need to do

User · Answer

change the code like this    from sklearn cross validation import train test split from sklearn model selection import train test split

User · Answer

Make sure you have Anaconda installed and then create a virtualenv using conda  This will ensure all the imports work   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  gt  gt  gt  from sklearn cross validation import train test split

User · Answer

It must relate to the renaming and deprecation of cross validation sub-module to model selection  Try substituting cross validation to model selection

User · Answer

If you have code that needs to run various versions you could do something like this   import sklearn if sklearn   version    gt   0 18       from sklearn model selection import train test split else      from sklearn cross validation import train test split   This isn t ideal though because you re comparing package versions as strings  which usually works but doesn t always  If you re willing to install packaging  this is a much better approach   from packaging version import parse import sklearn if parse sklearn   version     gt  parse  0 18        from sklearn model selection import train test split else      from sklearn cross validation import train test split

User · Answer

train test split is part of the module sklearn model selection  hence  you may need to import the module from model selection  Code   from sklearn model selection import train test split

User · Answer

train test split is now in model selection  Just type   from sklearn model selection import train test split   it should work

User · Answer

I guess cross selection is not active anymore  We should use instead model selection  You can write it to run  from sklearn model selection import train test split  Thats it

User · Answer

May be it s due to the deprecation of sklearn cross validation  Please replace sklearn cross validation with sklearn model selection  Ref- https   github com amueller scipy 2015 sklearn tutorial issues 60

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sklearn cross validation is now changed to sklearn model selection  Just use  from sklearn model selection import train test split   I think that will work

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Past   from sklearn cross validation  This package is deprecated in 0 18 version from 0 20 onwards it is changed to from sklearn import model selection    Present  from sklearn import model selection  Example 2   Past   from sklearn cross validation import cross val score  Version 0 18 which is deprecated   Present   from sklearn model selection import cross val score

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Splitting the dataset into the Training set and Test set  from sklearn model selection import train test split

User · Answer

sklearn cross validation is now changed to sklearn model selection  Just change  sklearn cross validation   to  sklearn model selection

User · Answer

sklearn cross validation   has changed to   sklearn model selection   Checkout the documentation here   https   scikit-learn org stable modules cross validation html

User · Answer

cross validation was deprecated some time ago  try switching it out with model selection

[python] ImportError: No module named sklearn.cross_validation

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