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
Upload details
- Uploaded by:
- Matthias Klose on 2020-01-10
- Uploaded to:
- Focal
- Original maintainer:
- Debian Med
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
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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 |
Available diffs
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