yoshoku / rumale
Rumale is a machine learning library in Ruby
Why this job: says: machine learning library; topics: machine-learning
What it does
Rumale (Ruby machine learning) is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. Rumale supports Support Vector Machine, Logistic Regression, Ridge, Lasso, Multi-layer Perceptron, Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering, Mutidimensional Scaling, t-SNE, Fisher Discriminant Analysis, Neighbourhood Component Analysis, Principal Component Analysis, Non-negative Matrix Factorization, and many other algorithms.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 12 days ago
- Stars
- 920
- On GitHub
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.2.0
- Released 4 months ago
- Built with
- Ruby
- 98% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 27 merged
- 0 waiting
- Releases
- 23
- 3 in the last year
- No contributing guide
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics, project record and preview image
Languages
- Ruby 98%
- C++ 2%
- Shell <1%
- JavaScript <1%
Topics
- ruby
- machine-learning
- data-science
- data-analysis
- artificial-intelligence
- rubyml
- ml
Project record
- JobAI libraries and models
- StatusListed
- Commits997
- Forks35
- Watching24
- Stars in 28 days+2
- CreatedSep 30, 2017
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
