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I installed scikit-learn successfully on Ubuntu following these instructions .

However, I get this error when I run a program that uses it:

Traceback (most recent call last):
  File "begueradj.py", line 10, in <module>
    from sklearn.preprocessing import normalize
ImportError: No module named sklearn.preprocessing
How do I fix this?
The instructions given in that tutorial you linked to are obsolete for Ubuntu 14.04.
The Ubuntu 14.04 package is named python-sklearn (formerly python-scikits-learn):
sudo apt-get install python-sklearn  
The python-sklearn package is in the default repositories in Ubuntu 14.04 as well as in other currently supported Ubuntu releases.
normalize is a method of Preprocessing. Therefore you need to import preprocessing.
In your code you can then call the method preprocessing.normalize().
from sklearn import preprocessing
preprocessing.normailze(x,y,z)
If you are looking to make the code short hand then you could use the import x from y as z syntax
from sklearn import preprocessing as prep
prep.normalize(x,y,z) 
                No, this is not the issue here: from sklearn.preprocessing import normalize is a perfectly valid import.
– cel
                Mar 21, 2015 at 12:58
        
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