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shogun-elwms

Large Scale Machine Learning Toolbox

Variants:
SHOGUN - is a new machine learning toolbox with focus on large scale kernel methods and especially on Support Vector Machines (SVM) with focus to bioinformatics. It provides a generic SVM object interfacing to several different SVM implementations. Each of the SVMs can be combined with a variety of the many kernels implemented. It can deal with weighted linear combination of a number of sub-kernels, each of which not necessarily working on the same domain, where an optimal sub-kernel weighting can be learned using Multiple Kernel Learning. Apart from SVM 2-class classification and regression problems, a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons and also algorithms to train hidden markov models are implemented. The input feature-objects can be dense, sparse or strings and of type int/short/double/char and can be converted into different feature types. Chains of preprocessors (e.g. substracting the mean) can be attached to each feature object allowing for on-the-fly pre-processing.

SHOGUN comes in different flavours, a stand-a-lone version and also with interfaces to Matlab(tm), R, Octave, Readline and Python. This is the eierlegendewollmilchsau package, providing interfaces and interoperability commands to R, Octave and Python all at once.

Homepage:
Package version:0.9.3-4
Architecture:kfreebsd-amd64
Distribution:Debian
Filename:shogun-elwms_0.9.3-4_kfreebsd-amd64.deb

/usr/share/doc/shogun-elwms/README

Explanation of directory content
================================

README       - this file
Makefile     - to create release archives
src          - shogun source code
doc          - documentation (to be built using doxygen)
examples     - example files for all interfaces
applications - applications of shogun
testsuite    - the shogun test suite

The following table depicts the status of each inte
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/usr/share/doc/shogun-elwms/changelog.Debian.gz

shogun (0.9.3-4) unstable; urgency=high

  * Workaround cdbs problem and hopefully only create doxygen doc once.
    - This should be a workaround for the FTBS caused by doxygen bugs.
    - Therefore increasing urgency to high.

 -- Soeren Sonnenburg <sonne@debian.org>  Tue, 17 Aug 2010 21:16:30 +0200

shogun (0.9.3-3) unstable; urgency=low

  * Do not call make doc on arch-dep targets but on inde
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/usr/share/doc/shogun-elwms/copyright

This program was downloaded from http://www.shogun-toolbox.org .

The main upstream Authors are
    Soeren Sonnenburg <sonne@debian.org>
    Gunnar Raetsch <Gunnar.Raetsch@tuebingen.mpg.de>.

Copyright (C) 1999-2009 Fraunhofer Institute FIRST
Copyright (C) 1999-2010 Max Planck Society
Copyright (C) 2009-2010 Berlin Institute of Technology

License:

    This program is free software; you can redis
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