https://github.com/alejandrodevs/classiphier

Classifier module using Bayesian's theorem.
https://github.com/alejandrodevs/classiphier

artificial-intelligence bayesian classifier

Last synced: about 1 month ago
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Classifier module using Bayesian's theorem.

• Host: GitHub
• URL: https://github.com/alejandrodevs/classiphier
• Owner: alejandrodevs
• License: mit
• Created: 2015-07-17T16:08:13.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2019-08-21T13:24:56.000Z (about 5 years ago)
• Last Synced: 2024-09-12T22:23:37.345Z (2 months ago)
• Topics: artificial-intelligence, bayesian, classifier
• Language: Ruby
• Size: 15.6 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
# Classiphier

[![Build Status](https://travis-ci.com/alejandrodevs/classiphier.svg?branch=master)](https://travis-ci.org/alejandrodevs/classiphier)

Classifier module using Bayesian's theorem.

*This is another implementation based on cardmagic/classifier.*

## Installation

Add this line to your application's Gemfile:

```ruby

gem 'classiphier'

```

And then execute:

    $ bundle

Or install it yourself as:

    $ gem install classiphier

## Usage

```ruby

require 'classiphier'

classifier = Classiphier::Bayes.new

classifier.train :positive, 'This is a great tweet. I like it!'

classifier.train :positive, 'With great power comes great responsibility'

classifier.train :negative, 'This tweet is not good. I hate it!'

classifier.train :negative, 'Here are some bad words, I hate you'

classifier.classify 'I like these tweets' # => :positive

```

## Development

After checking out the repo, run `bin/setup` to install dependencies. Then, run `rake spec` to run the tests. You can also run `bin/console` for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run `bundle exec rake install`. To release a new version, update the version number in `version.rb`, and then run `bundle exec rake release`, which will create a git tag for the version, push git commits and tags, and push the `.gem` file to [rubygems.org](https://rubygems.org).

## Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/alejandrodevs/classiphier. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [Contributor Covenant](http://contributor-covenant.org) code of conduct.

## License

The gem is available as open source under the terms of the [MIT License](https://opensource.org/licenses/MIT).

## Code of Conduct

Everyone interacting in the Classiphier project’s codebases, issue trackers, chat rooms and mailing lists is expected to follow the [code of conduct](https://github.com/alejandrodevs/classiphier/blob/master/CODE_OF_CONDUCT.md).