The network-topic-models package

[Tags: bsd3, program]

Implementations of a few network topic models build upon bayes-stack. The package includes Latent Dirichlet Allocation (LDA), the shared taste model, and the citation influence model.


Properties

Version0.2.0.1
Dependenciesbase (==4.6.*), bayes-stack (==0.2.*), bimap (==0.2.*), bytestring (==0.10.*), cereal (==0.3.*), containers (==0.5.*), deepseq (==1.3.*), directory, filepath (==1.3.*), logfloat (==0.12.*), mwc-random (==0.12.*), optparse-applicative (==0.4.*), random-fu (==0.2.*), statistics (==0.10.*), stm (==2.4.*), text (==0.11.*), transformers (==0.3.*), vector (>=0.9 && <0.11)
LicenseBSD3
CopyrightCopyright (c) 2012 Ben Gamari
AuthorBen Gamari
Maintainerbgamari.foss@gmail.com
CategoryMath
Home pagehttps://github.com/bgamari/bayes-stack
Source repositoryhead: git clone https://github.com/bgamari/bayes-stack.git
Executablesbayes-stack-dump-ci, bayes-stack-dump-st, bayes-stack-dump-lda, bayes-stack-ci, bayes-stack-st, bayes-stack-lda
Upload dateSat Oct 27 16:31:04 UTC 2012
Uploaded byBenGamari
Downloads93 total (8 in last 30 days)

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