Bug#388148: RFP: shogun -- Shogun - A Large Scale Machine Learning Toolbox
Package: wnpp
Severity: wishlist
* Package name : shogun
Version : 0.1.2
Upstream Author : Soeren Sonnenburg <Soeren.Sonnenburg@first.fraunhofer.de>, Gunnar Raetsch <Gunnar.Raetsch@tuebingen.mpg.de>
* URL : http://www2.fml.tuebingen.mpg.de/raetsch/projects/shogun
* License : GPL
Programming Lang: C++
Description : Shogun - A Large Scale Machine Learning Toolbox
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 and Python.
-- System Information:
Debian Release: testing/unstable
APT prefers testing
APT policy: (650, 'testing'), (600, 'unstable'), (1, 'experimental')
Architecture: powerpc (ppc)
Shell: /bin/sh linked to /bin/bash
Kernel: Linux 2.6.17.4-sonne
Locale: LANG=en_US.UTF-8, LC_CTYPE=en_US.UTF-8 (charmap=UTF-8)
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