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scikit-learn

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    • user avatar
    Merge branch 'debian' into debian-release
    Yaroslav Halchenko authored 
    * debian:
  actually doing arith operation and printing to avoid failed comparison
  Changelog for all previous commits
  adding a workaround to allow BFS (Closes: #588595)
  make nosetesting not suppressing output from code
  Build-Depend on python-numpy providing numpy-ext (Closes: #589590) + policy 3.9.0
  Added deb_cython_0.12.1 to use code cythoned with up-to-date cython 0.12.1
    2b8ddd82
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    user avatar 2b8ddd82
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    Name Last commit Last update
    debian
    doc
    examples
    scikits
    .gitignore
    .mailmap
    AUTHORS
    COPYING
    README.rst
    setup.py
    site.cfg
    README.rst

    About

    scikits.learn is a python module for machine learning built on top of scipy.

    The project was started in 2007 by David Cournapeu as a Google Summer of Code project, and since then many volunteers have contributed. See the AUTHORS file for a complete list of contributors.

    It is currently maintained by a team of volunteers.

    Download

    You can download source code and Windows binaries from SourceForge:

    http://sourceforge.net/projects/scikit-learn/files/

    Dependencies

    The required dependencies to build the software are python >= 2.5, NumPy >= 1.1, SciPy and a working C++ compiler.

    Optional dependencies are scikits.optimization and the Boost libraries for module scikits.learn.manifold.

    To run the tests you will also need nosetests and python-dap (http://pypi.python.org/pypi/dap/).

    Install

    This packages uses distutils, which is the default way of installing python modules. The install command is:

    python setup.py install

    Mailing list

    There's a general and development mailing list, visit https://lists.sourceforge.net/lists/listinfo/scikit-learn-general to subscribe to the mailing list.

    IRC channel

    Some developers tend to hang around the channel #scikit-learn at irc.freenode.net, especially during the week preparing a new release. If nobody is available to answer your questions there don't hesitate to ask it on the mailing list to reach a wider audience.

    Development

    Code

    GIT

    You can check out the current repository with the command:

    git clone git://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn

    Developers with write privileges should instead use the command:

    git clone ssh://USERNAME@scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn

    where USERNAME is your sourceforge username.

    Bugs

    Please submit bugs you might encounter, as well as patches and feature requests to the tracker located at the address https://sourceforge.net/apps/trac/scikit-learn/report

    Testing

    To execute the test suite, run from the project's top directory (you will need to have nosetest installed):

    python setup.py test