Package python-module-mdp: Information

    Source package: python-module-mdp
    Version: 2.6-alt1.git20101123
    Build time:  Nov 24, 2010, 11:45 PM
    Report package bug
    License: LGPL v2
    Summary: Modular toolkit for Data Processing
    Description: 
    Modular toolkit for Data Processing (MDP) is a Python data processing
    framework.
    
    From the user's perspective, MDP is a collection of supervised and
    unsupervised learning algorithms and other data processing units that
    can be combined into data processing sequences and more complex
    feed-forward network architectures.
    
    From the scientific developer's perspective, MDP is a modular framework,
    which can easily be expanded. The implementation of new algorithms is
    easy and intuitive. The new implemented units are then automatically
    integrated with the rest of the library.
    
    The base of available algorithms is steadily increasing and includes, to
    name but the most common, Principal Component Analysis (PCA and NIPALS),
    several Independent Component Analysis algorithms (CuBICA, FastICA,
    TDSEP, JADE, and XSFA), Slow Feature Analysis, Gaussian Classifiers,
    Restricted Boltzmann Machine, and Locally Linear Embedding.

    List of rpms provided by this srpm:
    python-module-mdp (noarch)
    python-module-mdp-doc (noarch)
    python-module-mdp-tests (noarch)


    List of contributors:
    Eugeny A. Rostovtsev

    ACL:
    @qa_p6

      1. python-devel
      2. python-module-scipy
      3. libnumpy-devel

    Last changed


    Nov. 24, 2010 Eugeny A. Rostovtsev 2.6-alt1.git20101123
    - New snapshot
    July 28, 2010 Eugeny A. Rostovtsev 2.6-alt1.git20100725
    - Version 2.6
    March 18, 2010 Eugeny A. Rostovtsev 2.5-alt1.svn20091007.2
    - Extracted tests into separate packages
    - Added
      + pickles package
      + examples