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ID3-based implementation of the ML Decision Tree algorithm
The main features of igrigorik/decisiontree are: Machine Learning Libraries, Statistical and Predictive Models, Scientific Computing.
Projects with overlapping indexed features include: maspwr/rtimbl — A Ruby interface to the Timbl machine-learning library. jekyll/classifier-reborn — A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier. 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.
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.
A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier.
