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[ Source: ghmm  ]

Package: libghmm-dev (0.9~rc3-6)

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General Hidden-Markov-Model library - header files

The General Hidden Markov Model Library (GHMM) is a C library with additional Python3 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.

Tags: Software Development: Libraries, Role: Development Library

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Download libghmm-dev

Download for all available architectures
Architecture Package Size Installed Size Files
alpha (unofficial port) 202.7 kB1,225.0 kB [list of files]
amd64 183.8 kB886.0 kB [list of files]
arm64 173.5 kB885.0 kB [list of files]
armel 168.8 kB747.0 kB [list of files]
armhf 162.3 kB638.0 kB [list of files]
hppa (unofficial port) 178.9 kB775.0 kB [list of files]
i386 192.6 kB798.0 kB [list of files]
ia64 (unofficial port) 221.8 kB1,205.0 kB [list of files]
m68k (unofficial port) 152.0 kB713.0 kB [list of files]
mips64el 192.5 kB1,067.0 kB [list of files]
ppc64 (unofficial port) 203.5 kB1,026.0 kB [list of files]
ppc64el 205.5 kB1,006.0 kB [list of files]
riscv64 369.3 kB3,194.0 kB [list of files]
s390x 197.6 kB929.0 kB [list of files]
sh4 (unofficial port) 186.2 kB649.0 kB [list of files]
sparc64 (unofficial port) 175.1 kB983.0 kB [list of files]
x32 (unofficial port) 179.7 kB757.0 kB [list of files]