network-topic-models: A few network topic model implementations for bayes-stack

[ bsd3, math, program ] [ Propose Tags ]

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.

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Versions [RSS] 0.2.0.1
Dependencies base (>=4.6 && <4.7), bayes-stack (>=0.2 && <0.3), bimap (>=0.2 && <0.3), bytestring (>=0.10 && <0.11), cereal (>=0.3 && <0.4), containers (>=0.5 && <0.6), deepseq (>=1.3 && <1.4), directory, filepath (>=1.3 && <1.4), logfloat (>=0.12 && <0.13), mwc-random (>=0.12 && <0.13), optparse-applicative (>=0.4 && <0.5), random-fu (>=0.2 && <0.3), statistics (>=0.10 && <0.11), stm (>=2.4 && <2.5), text (>=0.11 && <0.12), transformers (>=0.3 && <0.4), vector (>=0.9 && <0.11) [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 2012-10-27T16:31:04Z
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Reverse Dependencies 1 direct, 0 indirect [details]
Executables bayes-stack-dump-ci, bayes-stack-dump-st, bayes-stack-dump-lda, bayes-stack-ci, bayes-stack-st, bayes-stack-lda
Downloads 1032 total (5 in the last 30 days)
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Status Docs not available [build log]
All reported builds failed as of 2016-12-23 [all 8 reports]