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This is the Ruby interface to LIBLINEAR (much more efficient than LIBSVM for text classification and other large linear classifications)
The main features of tomz/liblinear-ruby-swig are: Machine Learning Libraries, Statistical and Predictive Models.
Open-source alternatives to tomz/liblinear-ruby-swig 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.
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
