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https://github.com/paulgoetze/weka-jruby
Machine Learning & Data Mining with JRuby
https://github.com/paulgoetze/weka-jruby
classification clustering jruby machine-learning ruby rubyml weka
Last synced: 1 day ago
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Machine Learning & Data Mining with JRuby
- Host: GitHub
- URL: https://github.com/paulgoetze/weka-jruby
- Owner: paulgoetze
- License: mit
- Created: 2015-12-02T18:58:20.000Z (about 9 years ago)
- Default Branch: develop
- Last Pushed: 2023-12-28T10:15:45.000Z (about 1 year ago)
- Last Synced: 2025-01-26T04:07:14.905Z (16 days ago)
- Topics: classification, clustering, jruby, machine-learning, ruby, rubyml, weka
- Language: Ruby
- Size: 331 KB
- Stars: 65
- Watchers: 4
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: MIT-LICENSE.txt
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
- awesome-ruby - weka - Machine learning and data mining algorithms for JRuby. (Machine Learning)
- machine-learning-with-ruby - weka - (Machine Learning Libraries / Frameworks)
README
# Weka
[](http://badge.fury.io/rb/weka)
[](https://github.com/paulgoetze/weka-jruby/workflows/Tests/badge.svg)
Machine Learning & Data Mining with JRuby based on the
[Weka](http://www.cs.waikato.ac.nz/~ml/weka/index.html) Java library.
## Installation
Add this line to your application's Gemfile:
```ruby
gem 'weka'
```
And then execute:
$ bundle install
Or install it yourself as:
$ gem install weka
## Usage
Use Weka's Machine Learning and Data Mining algorithms by requiring the gem:
```ruby
require 'weka'
```
The weka gem tries to carry over the namespaces defined in Weka and enhances
some interfaces in order to allow a more Ruby-ish programming style when using
the Weka library.
The idea behind keeping the namespaces is, that you can also use the
[Weka documentation](http://weka.sourceforge.net/doc.dev/) for looking up
functionality and classes.
Please refer to [the gem’s Wiki](https://github.com/paulgoetze/weka-jruby/wiki)
for detailed information about how to use weka with JRuby and some examplary
code snippets.
## Development
1. Check out the repo with `git clone [email protected]:paulgoetze/weka-jruby.git`.
2. Set a local environment variable `export JARS_VENDOR=false`. This will
prevent compiling the jars into your repo’s /lib directory and will load them
from your local maven repository instead. See the
[jar-dependencies README](https://github.com/mkristian/jar-dependencies#for-development-you-do-not-need-to-vendor-the-jars-at-all)
for more information.
3. Run `bin/setup` or `bundle install` to install the dependencies.
Then, run `rake spec` to run the tests. You can also run `bin/console` or
`rake irb` for an interactive prompt that will allow you to experiment.
## Contributing
Bug reports and pull requests are welcome on GitHub at
https://github.com/paulgoetze/weka-jruby. This project is intended to be a safe,
welcoming space for collaboration, and contributors are expected to adhere to
the
[Contributor Covenant Code of Conduct](https://github.com/paulgoetze/weka-jruby/blob/main/CODE_OF_CONDUCT.md).
For development we use the
[git branching model](http://nvie.com/posts/a-successful-git-branching-model/)
described by [nvie](https://github.com/nvie).
Here’s how to contribute:
1. Fork it (https://github.com/paulgoetze/weka-jruby/fork)
2. Create your feature branch (`git checkout -b feature/my-new-feature develop`)
3. Commit your changes (`git commit -am 'Add some feature'`)
4. Push to the branch (`git push origin feature/my-new-feature`)
5. Create a new Pull Request
Please try to add RSpec tests along with your new feature. This will ensure that
your code does not break existing functionality and that your feature is working
as expected.
We use [Rubocop](https://github.com/bbatsov/rubocop) for code style
recommendations. Please make sure your contributions comply with the project’s
Rubocop config.
## Acknowledgement
The original ideas for wrapping Weka in JRuby come from
[@arrigonialberto86](https://github.com/arrigonialberto86) and his
[ruby-band](https://github.com/arrigonialberto86/ruby-band) gem. Great thanks!
## License
The gem is available as open source under the terms of the
[MIT License](https://github.com/paulgoetze/weka-jruby/blob/main/MIT-LICENSE.txt).