(r13) BaumWelch < GRM

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---+ Baum-Welch expectation maximization library
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%ICON{led-red}% *Version 0.3.7 is now available for [[BaumWelchDownload][download]].*

%ICON{new}% Baum-Welch is now available on [[https://conda-forge.org/][conda-forge]]. Linux (x86) and Mac OS X users who already have [[https://docs.conda.io/en/latest/][conda]] can install the library and all dependencies using the following command: =conda install -c conda-forge baumwelch=.
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_OpenGrm_ _Baum-Welch_ is a C++ library (including associated binaries) which allows the user to estimate the parameters of a discrete hidden Markov model (HMM)
using the Baum-Welch algorithm (a special case of the expectation maximization meta-algorithm). It uses [[http://www.openfst.org][OpenFst library]]
finite-state transducers (FSTs) and FST archives (FARs) as inputs and outputs.

   * [[BaumWelchDownload][Download]]
   * [[%ATTACHURL%/README.md][Documentation]]
   * [[http://opengrm.org/doxygen/baumwelch/html/][Documented source code]]

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I	Attachment	History	Action	Size	Date	Who	Comment
md	README.md	r1	manage	10.9 K	2021-05-18 - 04:22	KyleGorman

Topic revision: r13 - 2022-02-03 - KyleGorman