A set of python modules for machine learning and data mining
scikits.learn is a Python module for machine learning built on top of SciPy.
The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See the AUTHORS.rst file for a complete list of contributors.
It is currently maintained by a team of volunteers.
The required dependencies to build the software are Python >= 2.5, setuptools, Numpy >= 1.2, SciPy >= 0.7 and a working C++ compiler.
To run the tests you will also need nose >= 0.10.
This package uses distutils, which is the default way of installing python modules. To install in your home directory, use:
python setup.py install --home
To install for all users on Unix/Linux:
python setup.py build sudo python setup.py install
You can check the latest sources with the command:
git clone git://github.com/scikit-learn/scikit-learn.git
or if you have write privileges:
git clone firstname.lastname@example.org:scikit-learn/scikit-learn.git
After installation, you can launch the test suite from outside the source directory (you will need to have nosetest installed):
python -c "import sklearn; sklearn.test()"
See web page http://scikit-learn.sourceforge.net/install.html#testing for more information.
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|scikit-learn-0.9.tar.gz (2.3 MB) Copy SHA256 hash SHA256||Source||None|
|scikit-learn-0.9.win32-py2.6.exe (2.3 MB) Copy SHA256 hash SHA256||Windows Installer||2.6|
|scikit-learn-0.9.win32-py2.7.exe (2.3 MB) Copy SHA256 hash SHA256||Windows Installer||2.7|