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Bug#388148: marked as done (ITP: shogun -- Shogun - A Large Scale Machine Learning Toolbox)

Your message dated Sat, 10 Feb 2007 10:52:20 +0100
with message-id <20070210095220.GB4153@localhost>
and subject line closing old ITP bug
has caused the attached Bug report to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

(NB: If you are a system administrator and have no idea what I am
talking about this indicates a serious mail system misconfiguration
somewhere.  Please contact me immediately.)

Debian bug tracking system administrator
(administrator, Debian Bugs database)
--- Begin Message --- 
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)

--- End Message ---
--- Begin Message --- 
Source: shogun
Source-Version: 0.2.1+svn1923-1

-- 
Thomas Huriaux

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