hmm-hmatrix: Hidden Markov Models using HMatrix primitives

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Hidden Markov Models implemented using HMatrix data types and operations.

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.


Versions0.0,, 0.0.1, 0.0.2, 0.1,,, 0.1.1
Dependenciesarray (>=0.4 && <0.6), base (>=4.5 && <5), containers (>=0.4.2 && <0.7), 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]
AuthorHenning Thielemann
Home page
Source repositorythis: darcs clone --tag
head: darcs clone
UploadedMon Nov 12 22:04:55 UTC 2018 by HenningThielemann



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