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Bug#476103: marked as done (RFP: ghmm -- Library with data structures and algorithms for Hidden Markov Models)



Your message dated Fri, 12 Aug 2016 09:56:39 +0000
with message-id <E1bY9Ch-0002GA-Ff@quantz.debian.org>
and subject line closing RFP: ghmm -- Library with data structures and algorithms for Hidden Markov Models
has caused the Debian Bug report #476103,
regarding RFP: ghmm -- Library with data structures and algorithms for Hidden Markov Models
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.

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-- 
476103: http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=476103
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--- Begin Message ---
Package: wnpp
Severity: wishlist
Owner: slomo@debian.org

* Package name      : ghmm
  Upstream Authors  : Alexander Schliep
                      Benjamin Georgi
                      Wasinee Rungsarityotin
                      Ivan G. Costa
                      Janne Grunau
                      Matthias Heinig 
* URL               : http://www.ghmm.org
* License           : LGPL
  Description       : Library with data structures and algorithms for
Hidden Markov Models

Hi,
I plan to package ghmm. I will include the C library and python bindings
to it.

There will be one build of the C library against GSL (the GNU Scientific
Library which is GPL, thus causing possible license problems with some
software) and one build without GSL. These two builds will be ABI
compatible.

> The General Hidden Markov Model library (GHMM) is a freely available
> LGPL-ed C library implementing efficient data structures and
> algorithms for basic and extended HMMs. The development is hosted at
> Sourceforge http://sourceforge.net/projects/ghmm/, where you have
> access to the Subversion repository, mailing lists and forums.
> 
> The GHMM is developed by the Algorithmics group at the Max Planck
> Institute for Molecular Genetics.
> Features:
>       * Discrete and continous emissions
>       * Mixtures of PDFs for continous emissions
>       * Non-homogenous Markov chains
>       * Pair HMMs (contributed by Genoscope )
>       * Clustering and mixture modelling for HMMs
>       * Graphical Editor HMMEd
>       * Python bindings
>       * XML-based file format
>       * Portable (autoconf, automake, Windows)
>       * C++ API (NOT under active development, unsupported
Bye

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--- End Message ---
--- Begin Message ---
RFP 476103 has no visible progress for a long time, so closing.

--- End Message ---

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