Skip to content
A redis-backed Bayesian classifier
Ruby
Branch: master
Clone or download

Latest commit

Fetching latest commit…
Cannot retrieve the latest commit at this time.

Files

Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
images
lib
spec
.document
.gitignore
.rspec
.ruby-version
.travis.yml
Gemfile
Gemfile.lock
LICENSE.txt
README.md
Rakefile
VERSION
linnaeus.gemspec

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

You can’t perform that action at this time.