https://github.com/dansbits/lurn

A ruby gem for elegant data science and machine learning
https://github.com/dansbits/lurn

Last synced: 3 months ago
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A ruby gem for elegant data science and machine learning

• Host: GitHub
• URL: https://github.com/dansbits/lurn
• Owner: dansbits
• License: mit
• Created: 2017-02-01T22:29:39.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2019-05-09T14:12:26.000Z (over 5 years ago)
• Last Synced: 2024-07-12T12:30:09.796Z (4 months ago)
• Language: Ruby
• Size: 56.6 KB
• Stars: 291
• Watchers: 16
• Forks: 13
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# Lurn

Lurn is a ruby gem for performing machine learning tasks. The API and design patterns in Lurn are inspired by scikit-learn, a popular machine learning library for Python.

# Documentation

[www.lurnrb.com](https://www.lurnrb.com)

## Installation

Add this line to your application's Gemfile:

```ruby

gem 'lurn'

```

And then execute:

    $ bundle

Or install it yourself as:

    $ gem install lurn

## Usage

- Naive Bayes

  - [Bernoulli Naive Bayes](readmes/naive_bayes/bernoulli_naive_bayes.md)

  - [Multinomial Naive Bayes](readmes/naive_bayes/multinomial_naive_bayes.md)

- Nearest Neighbor Models

  - [K Nearest Neighbor Regression](readmes/neighbors/knn_regression.md)

  - [K Nearest Neighbor Classification](readmes/neighbors/knn_classification.md)

- Text Processing

  - [Bernoulli Vectorizer](readmes/text_processing/bernoulli_vectorizer.md)

- Model Evaluation

  - [ClassifierEvaluator](readmes/evaluation/classifier_evaluator.md)

## 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/dansbits/lurn.

## License

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