Package: ghmm (0.9~rc3-6) [debports]

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General Hidden-Markov-Model library - tools

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.

This package contains some tools using the library.

Other Packages Related to ghmm

depends

recommends

suggests

enhances

dep: libc6 (>= 2.34)

GNU C Library: Shared libraries
also a virtual package provided by libc6-udeb
dep: libghmm1t64 (>= 0.9~rc3)

General Hidden-Markov-Model library
dep: liblapacke (>= 3.12.0)

Library of linear algebra routines 3 - C lib shared version
dep: libxml2 (>= 2.6.27)

GNOME XML library
dep: python3

interactive high-level object-oriented language (default python3 version)

dep: python3 (<< 3.12)

dep: python3 (>= 3.11~)
dep: zlib1g (>= 1:1.1.4)

compression library - runtime

rec: libopenblas0

Optimized BLAS (linear algebra) library (meta)

or libblis4

BLAS-like Library Instantiation Software Framework (32bit,meta)

Download ghmm

Download for all available architectures
Architecture	Package Size	Installed Size	Files
sparc64 (unofficial port)	132.7 kB	5,648.0 kB	[list of files]