https://github.com/padreati/rapaio

statistics, data mining and machine learning toolbox
https://github.com/padreati/rapaio

data-mining graphics java machine-learning machine-learning-toolbox statistics

Last synced: 4 days ago
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statistics, data mining and machine learning toolbox

• Host: GitHub
• URL: https://github.com/padreati/rapaio
• Owner: padreati
• License: other
• Created: 2013-09-06T18:49:33.000Z (about 12 years ago)
• Default Branch: master
• Last Pushed: 2025-06-16T08:59:56.000Z (5 months ago)
• Last Synced: 2025-07-19T05:31:56.148Z (4 months ago)
• Topics: data-mining, graphics, java, machine-learning, machine-learning-toolbox, statistics
• Language: Java
• Size: 155 MB
• Stars: 72
• Watchers: 8
• Forks: 12
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Code of conduct: docs/CODE_OF_CONDUCT.md

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README

          


![rapaio logo](./docs/logo/logo-medium.png)

## Disambiguation

1.  (Italian dictionary) *Field of turnips. It is also a place 

where there is confusion, where tricks and sims are plotted.*

2.  (Computer science) *Statistics, data mining and machine learning 

library written in Java.*

### Try it online

 

[![Launch rapaio with rapaio-jupyter-kernel jupyter binder](images/launch-binder.svg)](https://mybinder.org/v2/gh/padreati/rapaio-notebooks/master) 

[![Launch rapaio with rapaio-jupyter-kernel jupyter-lab binder](images/launch-binder-lab.svg)](https://mybinder.org/v2/gh/padreati/rapaio-notebooks/master?urlpath=lab)

### Build status

[![build](https://github.com/padreati/rapaio/actions/workflows/maven.yml/badge.svg)](https://github.com/padreati/rapaio/actions/workflows/maven.yml/badge.svg)

[![codecov.io](https://codecov.io/github/padreati/rapaio/coverage.svg?branch=master)](https://codecov.io/github/padreati/rapaio?branch=master)

## Documentation

[Rapaio](https://padreati.github.io/rapaio/) is a rich collection of data mining, statistics and machine learning tools written completely

in Java. Documentation for this library is hosted as [github pages](https://padreati.github.io/rapaio/). Most of the documentation is

written as Jupyter notebooks and can be seen at

[rapaio-book github repository](https://github.com/padreati/rapaio-book).

The complete list of features is presented [here](https://padreati.github.io/rapaio/complete-library-features/). An incomplete list of

implemented algorithms and features includes: core statistical tools, common distributions and hypothesis testing, Naive Bayes, Binary

Logistic Regression, Decision Trees (regression and classification), Random Forests (regression and classification), AdaBoost, Gradient

Boosting Trees (regression and classification), BinarySMO, SVM, Relevant Vector Machines (regression), Linear and Ridge Regression, PCA and

KMeans. Additionally there is a fair share of graphical tools and linear algebra stuff. And the list is growing periodically.

## Installation

Last published release on maven central is 7.0.1

    

        io.github.padreati

        rapaio-lib

        7.0.1

    

The best way for exploration is through jupyter / jupyter-lab notebooks. This is excellent for experimenting with interactive notebooks or

to document the ideas you are working on. You have to install `jupyter` / `jupyter-lab` and `rapaio-jupyter-kernel` kernel. 

For more information you can follow the instruction from

[Rapaio Jupyter Kernel](https://github.com/padreati/rapaio-jupyter-kernel#installation). 

    %dependency /add io.github.padreati:rapaio-lib:7.0.1

    %dependency /resolve

## Acknowledgements

Many thanks to **JetBrains** who provided open source licenses for their brilliant IDE 

[![a](images/intellij-idea_logos/logo.svg)](https://www.jetbrains.com/?from=rapaio).