{"id":13484231,"url":"https://github.com/paulgoetze/weka-jruby","last_synced_at":"2025-10-06T21:04:58.727Z","repository":{"id":54893199,"uuid":"47281785","full_name":"paulgoetze/weka-jruby","owner":"paulgoetze","description":"Machine Learning \u0026 Data Mining with JRuby","archived":false,"fork":false,"pushed_at":"2023-12-28T10:15:45.000Z","size":339,"stargazers_count":64,"open_issues_count":0,"forks_count":8,"subscribers_count":3,"default_branch":"develop","last_synced_at":"2025-05-08T23:48:39.227Z","etag":null,"topics":["classification","clustering","jruby","machine-learning","ruby","rubyml","weka"],"latest_commit_sha":null,"homepage":null,"language":"Ruby","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/paulgoetze.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"MIT-LICENSE.txt","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2015-12-02T18:58:20.000Z","updated_at":"2025-04-26T15:37:54.000Z","dependencies_parsed_at":"2023-12-28T11:29:22.199Z","dependency_job_id":"ed90e984-81a9-403e-8bd5-604432154560","html_url":"https://github.com/paulgoetze/weka-jruby","commit_stats":{"total_commits":240,"total_committers":4,"mean_commits":60.0,"dds":0.1166666666666667,"last_synced_commit":"bd44b8892d80399d145bcdf0b85ee77079a237ca"},"previous_names":[],"tags_count":12,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/paulgoetze%2Fweka-jruby","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/paulgoetze%2Fweka-jruby/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/paulgoetze%2Fweka-jruby/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/paulgoetze%2Fweka-jruby/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/paulgoetze","download_url":"https://codeload.github.com/paulgoetze/weka-jruby/tar.gz/refs/heads/develop","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253166477,"owners_count":21864467,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["classification","clustering","jruby","machine-learning","ruby","rubyml","weka"],"created_at":"2024-07-31T17:01:21.049Z","updated_at":"2025-10-06T21:04:58.721Z","avatar_url":"https://github.com/paulgoetze.png","language":"Ruby","funding_links":[],"categories":["Machine Learning Libraries","Machine Learning"],"sub_categories":["Frameworks","Text-to-Speech-to-Text"],"readme":"# Weka\n\n[![Gem Version](https://badge.fury.io/rb/weka.svg)](http://badge.fury.io/rb/weka)\n[![Build Status](https://github.com/paulgoetze/weka-jruby/workflows/Tests/badge.svg)](https://github.com/paulgoetze/weka-jruby/workflows/Tests/badge.svg)\n\nMachine Learning \u0026 Data Mining with JRuby based on the\n[Weka](https://ml.cms.waikato.ac.nz/weka/) Java library.\n\n## Installation\n\nAdd this line to your application's Gemfile:\n\n```ruby\ngem 'weka'\n```\n\nAnd then execute:\n\n    $ bundle install\n\nOr install it yourself as:\n\n    $ gem install weka\n\n## Usage\n\nUse Weka's Machine Learning and Data Mining algorithms by requiring the gem:\n\n```ruby\nrequire 'weka'\n```\n\nThe weka gem tries to carry over the namespaces defined in Weka and enhances\nsome interfaces in order to allow a more Ruby-ish programming style when using\nthe Weka library.\n\nThe idea behind keeping the namespaces is, that you can also use the\n[Weka documentation](http://weka.sourceforge.net/doc.dev/) for looking up\nfunctionality and classes.\n\nPlease refer to [the gem’s Wiki](https://github.com/paulgoetze/weka-jruby/wiki)\nfor detailed information about how to use weka with JRuby and some examplary\ncode snippets.\n\n## Development\n\n1. Check out the repo with `git clone git@github.com:paulgoetze/weka-jruby.git`.\n2. Set a local environment variable `export JARS_VENDOR=false`. This will\n   prevent compiling the jars into your repo’s /lib directory and will load them\n   from your local maven repository instead. See the\n   [jar-dependencies README](https://github.com/mkristian/jar-dependencies#for-development-you-do-not-need-to-vendor-the-jars-at-all)\n   for more information.\n3. Run `bin/setup` or `bundle install` to install the dependencies.\n\nThen, run `rake spec` to run the tests. You can also run `bin/console` or\n`rake irb` for an interactive prompt that will allow you to experiment.\n\n## Contributing\n\nBug reports and pull requests are welcome on GitHub at\nhttps://github.com/paulgoetze/weka-jruby. This project is intended to be a safe,\nwelcoming space for collaboration, and contributors are expected to adhere to\nthe\n[Contributor Covenant Code of Conduct](https://github.com/paulgoetze/weka-jruby/blob/main/CODE_OF_CONDUCT.md).\n\nFor development we use the\n[git branching model](http://nvie.com/posts/a-successful-git-branching-model/)\ndescribed by [nvie](https://github.com/nvie).\n\nHere’s how to contribute:\n\n1. Fork it (https://github.com/paulgoetze/weka-jruby/fork)\n2. Create your feature branch (`git checkout -b feature/my-new-feature develop`)\n3. Commit your changes (`git commit -am 'Add some feature'`)\n4. Push to the branch (`git push origin feature/my-new-feature`)\n5. Create a new Pull Request\n\nPlease try to add RSpec tests along with your new feature. This will ensure that\nyour code does not break existing functionality and that your feature is working\nas expected.\n\nWe use [Rubocop](https://github.com/bbatsov/rubocop) for code style\nrecommendations. Please make sure your contributions comply with the project’s\nRubocop config.\n\n## Acknowledgement\n\nThe original ideas for wrapping Weka in JRuby come from\n[@arrigonialberto86](https://github.com/arrigonialberto86) and his\n[ruby-band](https://github.com/arrigonialberto86/ruby-band) gem. Great thanks!\n\n## License\n\nThe gem is available as open source under the terms of the\n[MIT License](https://github.com/paulgoetze/weka-jruby/blob/main/MIT-LICENSE.txt).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpaulgoetze%2Fweka-jruby","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpaulgoetze%2Fweka-jruby","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpaulgoetze%2Fweka-jruby/lists"}