ghmm 0.9~rc3-2ubuntu1 source package in Ubuntu

Changelog

ghmm (0.9~rc3-2ubuntu1) focal; urgency=medium

  * Build using dh-python.
  * Don't hard-code python.

 -- Matthias Klose <email address hidden>  Fri, 10 Jan 2020 17:14:57 +0100

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Uploaded by:
Matthias Klose on 2020-01-10
Uploaded to:
Focal
Original maintainer:
Debian Med
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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ghmm_0.9~rc3.orig.tar.gz 752.5 KiB c42462ff4f87aadd5efe7bb6adb59657786ed71046ba924111bc28c7cbb588d0
ghmm_0.9~rc3-2ubuntu1.debian.tar.xz 4.1 KiB 298a4231afbb6e6c5575a2bcea3e6e0dd4473d0995749fb56d9dd56de914358a
ghmm_0.9~rc3-2ubuntu1.dsc 2.1 KiB 52c6bbcba39724ad2bf84f21615d542c5d495ebf258ea867426842166db36b9d

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Binary packages built by this source

ghmm: General Hidden-Markov-Model library - tools

 The General Hidden Markov Model Library (GHMM) is a C library with
 additional Python bindings implementing a wide range of types of
 Hidden Markov Models and algorithms: discrete, continuous emissions,
 basic training, HMM clustering, HMM mixtures.
 .
 This package contains some tools using the library.

ghmm-dbgsym: debug symbols for ghmm
libghmm-dev: General Hidden-Markov-Model library - header files

 The General Hidden Markov Model Library (GHMM) is a C library with
 additional Python bindings implementing a wide range of types of
 Hidden Markov Models and algorithms: discrete, continuous emissions,
 basic training, HMM clustering, HMM mixtures.
 .
 Header files and static library to compile against the library.

libghmm1: General Hidden-Markov-Model library

 The General Hidden Markov Model Library (GHMM) is a C library with
 additional Python bindings implementing a wide range of types of
 Hidden Markov Models and algorithms: discrete, continuous emissions,
 basic training, HMM clustering, HMM mixtures.
 .
 The dynamic library.

libghmm1-dbgsym: debug symbols for libghmm1