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[ Source: ghmm  ]

Package: libghmm1t64 (0.9~rc3-6)

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General Hidden-Markov-Model library

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.

The dynamic library.

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Download libghmm1t64

Download for all available architectures
Architecture Package Size Installed Size Files
alpha (unofficial port) 131.2 kB472.0 kB [list of files]
amd64 137.2 kB377.0 kB [list of files]
arm64 129.3 kB405.0 kB [list of files]
armel 121.0 kB361.0 kB [list of files]
armhf 114.0 kB265.0 kB [list of files]
hppa (unofficial port) 130.7 kB408.0 kB [list of files]
i386 141.5 kB409.0 kB [list of files]
ia64 (unofficial port) 172.3 kB737.0 kB [list of files]
m68k (unofficial port) 116.9 kB357.0 kB [list of files]
mips64el 127.8 kB420.0 kB [list of files]
ppc64 (unofficial port) 151.5 kB534.0 kB [list of files]
ppc64el 152.0 kB470.0 kB [list of files]
riscv64 146.0 kB333.0 kB [list of files]
s390x 148.0 kB433.0 kB [list of files]
sh4 (unofficial port) 143.3 kB342.0 kB [list of files]
sparc64 (unofficial port) 117.9 kB1,054.0 kB [list of files]
x32 (unofficial port) 134.6 kB361.0 kB [list of files]