py-logilab-hmm (python/py-logilab-hmm) Add to my watchlist

Python Hidden Markov model implementation

logilab-hmm is an implementation of Hidden Markov model and associated algorithms (Viterbi and Baum-Welsh).

Version: 0.5.0 License: GPL-2+

GitHub

Maintainers	No Maintainer
Categories	python
Homepage	http://www.logilab.org/project/logilab-hmm
Platforms	darwin
Variants	clang10 (Build using the MacPorts clang 10 compiler) clang11 (Build using the MacPorts clang 11 compiler) clang12 (Build using the MacPorts clang 12 compiler) clang50 (Build using the MacPorts clang 5.0 compiler) clang60 (Build using the MacPorts clang 6.0 compiler) clang70 (Build using the MacPorts clang 7.0 compiler) clang80 (Build using the MacPorts clang 8.0 compiler) clang90 (Build using the MacPorts clang 9.0 compiler) clangdevel (Build using the MacPorts clang devel compiler) g95 (Build using the g95 Fortran compiler) gcc10 (Build using the MacPorts gcc 10 compiler) gcc11 (Build using the MacPorts gcc 11 compiler) gcc5 (Build using the MacPorts gcc 5 compiler) gcc6 (Build using the MacPorts gcc 6 compiler) gcc7 (Build using the MacPorts gcc 7 compiler) gcc8 (Build using the MacPorts gcc 8 compiler) gcc9 (Build using the MacPorts gcc 9 compiler) gccdevel (Build using the MacPorts gcc devel compiler) gfortran (Build using the MacPorts gcc 11 Fortran compiler)

py27-logilab-hmm

libgcc

py27-logilab-hmm

clang-9.0

gcc11

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last updated: 23 hours ago