bayes-stack: Framework for inferring generative probabilistic models with Gibbs sampling

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bayes-stack is a framework for inference on generative probabilistic models. The framework uses Gibbs sampling, although is suitable for other iterative update methods.

Modules

BayesStack
Data
- Random
  - Data.Random.Sequence
- Sequence
  - Data.Sequence.Chunk
- Serialize
  - Data.Serialize.EnumMap
  - Data.Serialize.LogFloat

Downloads

bayes-stack-0.2.0.1.tar.gz [browse] (Cabal source package)
Package description (as included in the package)

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BenGamari

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Versions [RSS]	0.2.0.1
Dependencies	base (>=4 && <5), cereal, containers, deepseq, digamma, enummapset, gamma, ghc-prim, logfloat, mtl, mwc-random, pretty, random-fu, random-source, rvar, statistics, stm, transformers, vector [details]
License	BSD-3-Clause
Copyright	Copyright (c) 2012 Ben Gamari
Author	Ben Gamari
Maintainer	bgamari.foss@gmail.com
Category	Math
Home page	https://github.com/bgamari/bayes-stack
Source repo	head: git clone https://github.com/bgamari/bayes-stack.git
Uploaded	by BenGamari at 2012-10-27T16:25:43Z
Distributions
Reverse Dependencies	1 direct, 0 indirect [details]
Downloads	1339 total (5 in the last 30 days)
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Status	Docs uploaded by user Build status unknown [no reports yet]