Hi.
The best is probably to use a virtual environment or conda environment
specific for this changed version of scikit-learn.
In that environment you could just run an "install" and it would not
mess with your other environments.
If you don't want to go that way, you can also do ``python setup.py
build_ext -i`` to build inplace and then add this
path to your python path (PYTONPATH environment variable or
sys.path.insert in the script or many other ways).
Best,
Andy
On 08/01/2016 03:55 PM, luizfgoncal...@dcc.ufmg.br wrote:
I'm looking for the best way to install sklearn into a specific folder so
I can make changes for my work, without worrying about bugging my main
sklearn installation (as I use the default version for some experiments
too).
I tried to clone the git repository and use "python setup.py install", but
I'm afraid it will change my user installation too.
Right now, what I want is to edit a file called splitter.pyx (on tree
folder), compile/install sklearn so it will work with my changes, and test
it.
What is the best way to do it without causing problems with my main
sklearn installation?
Thanks a lot for your attention
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