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I'm working on a project and need a little different functionality from the package sklearn. I've forked the repo and pushed my changes. I know that I can install from github via pip:
pip install git+git://github.com/wdonahoe/scikit-learn-fork.git@master and then I can install the package with setup.py:
python setup.py install However, I am confused about what to do after this step. Running setup.py creates some .egg-info folders and .egg-links files in .../dist-packages/, but I am unsure what to do with them. Ideally, I'd like to go into my project in .../projects/my_project and say something like
from sklearn-my-version import <stuff> or switch it out with just
from sklearn import <stuff> I am also a little confused because a lot of resources on this issue mention using easy_install, which I thought pip replaced.
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Using A Forked NPM Dependency Creating a forked repository is very easy within GitHub. All you have to do is navigate to the repo of the project that you want to fork and select the Fork button. After you click this button, GitHub will create a copy of this repo within your user namespace.
It's quite common to want to pip install a version of a package that hasn't been released to PyPI, but is available on its Git repository host, such as GitHub. If the package is pure Python or has a relatively simple build process integrated with setup.py , it can be installed from source.
You can fork any repo by clicking the fork button in the upper right hand corner of a repo page. Click on the Fork button to fork any repo on github.com.
try again using just (-e flag lets you git pull updates by installing it as a git repo)
pip install -e git+git://github.com/wdonahoe/scikit-learn-fork.git@master#egg=scikit-learn more on eggs: http://mrtopf.de/blog/en/a-small-introduction-to-python-eggs/
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