Metadata-Version: 1.1
Name: skl-groups
Version: 0.1.0
Summary: Addon to scikit-learn for handling set-based data.
Home-page: https://github.com/dougalsutherland/skl-groups
Author: Dougal J. Sutherland
Author-email: dsutherl@cs.cmu.edu
License: BSD
Download-URL: https://github.com/dougalsutherland/skl-groups
Description: skl-groups
        ==========
        
        skl-groups is a package to perform machine learning on sets (or "groups") of
        features in Python. It extends the `scikit-learn <http://scikit-learn.org>`_
        library with support for either transforming sets into feature vectors that
        can be operated on with standard scikit-learn constructs or obtaining
        pairwise similarity/etc matrices that can be turned into kernels for use in
        scikit-learn.
        
        For an introduction to the package, why you might want to use it, and how to
        do so, check out
        `the documentation <https://dougalsutherland.github.io/skl-groups/>`_.
        
        skl-groups is currently in early stages of development; feel free to get in
        touch (dsutherl@cs.cmu.edu) if you're interested.
        
        
        Installation
        ------------
        
        This code is written and tested for Python 2.7, 3.3, and 3.4. 3.2 probably
        works. It is also only tested on OS X and Linux, though it's not known not to
        work on other platforms; let me know if you try it.
        
        Get reasonably recent versions of numpy, scipy, and scikit-learn, then run::
        
            python setup.py install
        
        to install skl-groups. Once the package is a little more mature, it will also
        be available through pip or conda, but not just yet.
        
        If you want to use the kNN divergence estimator, you'll need to have
        `FLANN <http://people.cs.ubc.ca/~mariusm/index.php/FLANN/FLANN>`_
        and either its Python interface (pyflann) or the
        `cyflann <https://github.com/dougalsutherland/cyflann/>`_ library.
        These can be installed after installing skl-groups.
        If you're running on non-tiny datasets, you'll want a version with OpenMP
        support.
        If you use Anaconda, the cyflann page has a pointer on how to install both
        FLANN and cyflann through conda.
        
        You may also want the
        `skl-groups-accel <https://github.com/dougalsutherland/skl-groups-accel>`_
        package, which contains faster implementations of some of the algorithms in
        skl-groups; it's split out to make the base package of skl-groups easier to
        install. (Currently, it only has the kNN divergence estimator).
        
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Scientific/Engineering :: Information Analysis
