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ID3-based implementation of the ML Decision Tree algorithm
Linnaeus is a redis-backed naive Bayesian classification system. Please see the rdoc for more information. Ruby 1.9 is required.
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…
The main features of ealdent/lda-ruby are: Machine Learning Libraries, Statistical and Predictive Models.
Projects with overlapping indexed features include: mustafaturan/omnicat — A generalized framework for text classifications. maspwr/rtimbl — A Ruby interface to the Timbl machine-learning library. febeling/rb-libsvm — Ruby language bindings for LIBSVM. djcp/linnaeus — Linnaeus is a redis-backed naive Bayesian classification system. Please see the rdoc for more information. Ruby 1.9 is… igrigorik/decisiontree — ID3-based implementation of the ML Decision Tree algorithm. mustafaturan/omnicat-bayes — A Naive Bayes text classification implementation as an OmniCat classifier strategy.
