hmm-hmatrix: Hidden Markov Models using HMatrix primitives

[ bsd3, library, math ] [ Propose Tags ]

Hidden Markov Models implemented using HMatrix data types and operations. http://en.wikipedia.org/wiki/Hidden_Markov_Model

It implements:

It supports any kind of emission distribution, where discrete and multivariate Gaussian distributions are implemented as examples.

For an introduction please refer to the examples:

An alternative package without foreign calls is hmm.

Versions 0.0, 0.0.0.1, 0.0.1, 0.0.2, 0.1
Change log Changes.md
Dependencies array (>=0.4 && <0.6), base (>=4.5 && <5), containers (>=0.4.2 && <0.6), deepseq (>=1.3 && <1.5), explicit-exception (>=0.1.7 && <0.2), hmatrix (==0.16.*), lazy-csv (==0.5.*), non-empty (>=0.2.1 && <0.4), random (>=1.0 && <1.2), semigroups (>=0.17 && <0.19), transformers (>=0.2 && <0.6), utility-ht (>=0.0.12 && <0.1) [details]
License BSD-3-Clause
Author Henning Thielemann
Maintainer haskell@henning-thielemann.de
Category Math
Home page http://hub.darcs.net/thielema/hmm-hmatrix
Source repo this: darcs get http://hub.darcs.net/thielema/hmm-hmatrix --tag 0.1
head: darcs get http://hub.darcs.net/thielema/hmm-hmatrix
Uploaded by HenningThielemann at Sun Jan 14 19:23:43 UTC 2018
Distributions NixOS:0.1
Downloads 847 total (10 in the last 30 days)
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