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Package: ghmm (0.9~rc3-2)

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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.

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Download ghmm

Download for all available architectures
Architecture Package Size Installed Size Files
alpha (unofficial port) 6.3 kB60.0 kB [list of files]
amd64 6.2 kB76.0 kB [list of files]
arm64 6.2 kB44.0 kB [list of files]
armel 6.1 kB44.0 kB [list of files]
armhf 6.0 kB44.0 kB [list of files]
hppa (unofficial port) 6.6 kB44.0 kB [list of files]
i386 6.3 kB76.0 kB [list of files]
m68k (unofficial port) 6.0 kB60.0 kB [list of files]
mips64el 6.3 kB48.0 kB [list of files]
mipsel 6.2 kB44.0 kB [list of files]
ppc64 (unofficial port) 6.5 kB288.0 kB [list of files]
ppc64el 6.5 kB288.0 kB [list of files]
riscv64 (unofficial port) 6.0 kB48.0 kB [list of files]
s390x 6.2 kB44.0 kB [list of files]
sh4 (unofficial port) 6.1 kB44.0 kB [list of files]
sparc64 (unofficial port) 6.1 kB64.0 kB [list of files]
x32 (unofficial port) 6.2 kB76.0 kB [list of files]