A redis-backed Bayesian classifier
Ruby
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README.md

Linnaeus Build Status

Carl Linnaeus

Linnaeus is a redis-backed naive Bayesian classification system. Please see the rdoc for more information. Ruby 1.9 is required.

Examples

lt = Linnaeus::Trainer.new      # Used to train documents
lc = Linnaeus::Classifier.new   # Used to classify documents

lt.train 'language', 'Ruby is a dynamic, reflective, general-purpose object-oriented programming language that combines syntax inspired by Perl with Smalltalk-like features.'
lt.train 'database', 'PostgreSQL, often simply Postgres, is an object-relational database management system (ORDBMS) available for many platforms including Linux, FreeBSD, Solaris, Microsoft Windows and Mac OS X.'

lc.classify 'Perl is a high-level, general-purpose, interpreted, dynamic programming language.' # returns "language"

Contributing to linnaeus

  • Submit bugs to the github issue tracker: https://github.com/djcp/linnaeus/issues
  • If you'd like to add a feature, please submit a description of it to the issue tracker so we can discuss.
  • If the feature makes sense, fork the github repository. Write rspec tests and issue a pull request when your change is done.

The Future

  • Create additional storage backends - sqlite, postgresql, mongodb, etc.
  • Allow for weighting tweaks.

Copyright

Copyright (c) 2012 Dan Collis-Puro. See LICENSE.txt for further details.

Credits