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ID3-based implementation of the ML Decision Tree algorithm
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.
The main features of djcp/linnaeus 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. 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… 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.
