ghmm 0.9~rc3-2 source package in Ubuntu
Changelog
ghmm (0.9~rc3-2) unstable; urgency=medium
[ Chris Lamb ]
* Enable reproducible build by removing absolute build path from ghmm-config
Closes: #929791
[ Andreas Tille ]
* Standards-Version: 4.3.0
-- Andreas Tille <email address hidden> Sun, 02 Jun 2019 15:13:30 +0200
Upload details
- Uploaded by:
- Debian Med on 2019-06-02
- Uploaded to:
- Sid
- Original maintainer:
- Debian Med
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Focal | release | on 2019-10-18 | universe | misc |
| Eoan | release | on 2019-06-02 | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| ghmm_0.9~rc3-2.dsc | 2.0 KiB | 55648c468e32cc0e8f2b8159ad29018e21b128bd70c8667f4bc6ab81c4e65e14 |
| ghmm_0.9~rc3.orig.tar.gz | 752.5 KiB | c42462ff4f87aadd5efe7bb6adb59657786ed71046ba924111bc28c7cbb588d0 |
| ghmm_0.9~rc3-2.debian.tar.xz | 4.0 KiB | 3020d8c0a3f2cd2f176d98efa8eb1e83177e68f92e3a949971a4e85c2717e697 |
Available diffs
- diff from 0.9~rc3-1 to 0.9~rc3-2 (837 bytes)
No changes file available.
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
