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This wrapper is based on C-code by David M. Blei. In a nutshell, it can be used to automatically cluster documents into topics. The number of topics are chosen beforehand and the topics found are usually fairly intuitive. Details of the implementation can be found in the paper by Blei, Ng, and…
Linnaeus is a redis-backed naive Bayesian classification system. Please see the rdoc for more information. Ruby 1.9 is required.
ID3-based implementation of the ML Decision Tree algorithm
Simple Naive Bayes classifier
The main features of reddavis/naive-bayes are: Machine Learning Libraries, Statistical and Predictive Models.
Open-source alternatives to reddavis/naive-bayes include: maspwr/rtimbl — A Ruby interface to the Timbl machine-learning library. igrigorik/decisiontree — ID3-based implementation of the ML Decision Tree algorithm. ealdent/lda-ruby — This wrapper is based on C-code by David M. Blei. In a nutshell, it can be used to automatically cluster documents… djcp/linnaeus — Linnaeus is a redis-backed naive Bayesian classification system. Please see the rdoc for more information. Ruby 1.9 is… febeling/rb-libsvm — Ruby language bindings for LIBSVM. mustafaturan/omnicat — A generalized framework for text classifications.
