cadmium_classifier

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cadmiumcr/classifier
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Cadmium

Classifier

Cadmium comes with two classifiers so far, a Classic Bayes classifier and a Viterbi classifier.

Those are probabalistic classifiers that, when trained with a data set, can classify words (or other tokens) according to categories.

Installation

  1. Add the dependency to your shard.yml:

    dependencies:
      cadmium_classifier:
        github: cadmiumcr/classifier
    
  2. Run shards install

Usage

require "cadmium_classifier"
classifier = Cadmium::Classifier::Bayes.new

classifier.train("crystal is an awesome programming language", "programming")
classifier.train("ruby is nice, but not as fast as crystal", "programming")

classifier.train("my wife and I went to the beach", "off-topic")
classifier.train("my dog likes to go outside and play", "off-topic")

classifier.classify("Crystal is my favorite!")
# => "programming"

You can save the classifier as JSON as well

require "json"
json = classifier.to_json
File.write("classifier.json", json)

And load it again later

require "json"
json = File.open("classifier.json")
classifier = classifier.from_json(json)

Contributing

  1. Fork it (https://github.com/cadmiumcr/classifier/fork)
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create a new Pull Request

Contributors

cadmium_classifier:
  github: cadmiumcr/classifier
  
License MIT
Crystal > 0.35.1

Authors

Dependencies 2

Development Dependencies 1

  • ameba ~> 0.14
    {'github' => 'veelenga/ameba', 'version' => '~> 0.14'}

Dependents 1

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