I agree with everyone else – conda environments are specially designed for this situation.
I’ve not used virtualenv myself (http://docs.python-guide.org/en/latest/dev/virtualenvs/). I’m an Anaconda user. __________________________________________________________________________________________ Dale Smith | Macy's Systems and Technology | IFS eCommerce | Data Science and Capacity Planning | 5985 State Bridge Road, Johns Creek, GA 30097 | dale.t.sm...@macys.com From: scikit-learn [mailto:scikit-learn-bounces+dale.t.smith=macys....@python.org] On Behalf Of Michael Eickenberg Sent: Monday, August 1, 2016 4:17 PM To: Scikit-learn user and developer mailing list Subject: Re: [scikit-learn] Install sklearn into a specific folder to make some changes ⚠ EXT MSG: On Monday, August 1, 2016, Andreas Mueller <t3k...@gmail.com<mailto:t3k...@gmail.com>> wrote: 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. +1! 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<mailto: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 _______________________________________________ scikit-learn mailing list scikit-learn@python.org<mailto:scikit-learn@python.org> https://mail.python.org/mailman/listinfo/scikit-learn _______________________________________________ scikit-learn mailing list scikit-learn@python.org<mailto:scikit-learn@python.org> https://mail.python.org/mailman/listinfo/scikit-learn * This is an EXTERNAL EMAIL. Stop and think before clicking a link or opening attachments.
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