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Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.
| Date | Stars |
|---|---|
| 2026-07-24 | 1084 |
| 2026-07-25 | 1084 |
| 2026-07-28 | 1084 |
| 2026-07-30 | 1084 |
| 2026-07-31 | 1084 |
| 2026-08-06 | 1084 |
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Datumbox Machine Learning Framework
===================================
[](https://travis-ci.org/datumbox/datumbox-framework) [](https://ci.appveyor.com/project/datumbox/datumbox-framework) [](https://maven-badges.herokuapp.com/maven-central/com.datumbox/datumbox-framework-lib) [](./LICENSE)
[](http://www.datumbox.com/)
The Datumbox Machine Learning Framework is an open-source framework written in Java which allows the rapid development Machine Learning and Statistical applications. The main focus of the framework is to include a large number of machine learning algorithms & statistical methods and to be able to handle large sized datasets.
Copyright & License
-------------------
Copyright (C) 2013-2020 [Vasilis Vryniotis](http://blog.datumbox.com/author/bbriniotis/).
The code is licensed under the [Apache License, Version 2.0](./LICENSE).
Installation & Versioning
-------------------------
Datumbox Framework is available on [Maven Central Repository](http://search.maven.org/#search%7Cga%7C1%7Cg%3A%22com.datumbox%22%20AND%20a%3A%22datumbox-framework-lib%22).
The latest stable version of the framework is 0.8.2 (Build 20200805). To use it, add the following snippet in your pom.xml:
```
<dependency>
<groupId>com.datumbox</groupId>
<artifactId>datumbox-framework-lib</artifactId>
<version>0.8.2</version>
</dependency>
```
The latest snapshot version of the framework is 0.8.3-SNAPSHOT (Build 20201014). To test it, update your pom.xml as follows:
```
<repository>
<id>sonatype-snapshots</id>
<name>sonatype snapshots repo</name>
<url>https://oss.sonatype.org/content/repositories/snapshots</url>
</repository>
<dependency>
<groupId>com.datumbox</groupId>
<artifactId>datumbox-framework-lib</artifactId>
<version>0.8.3-SNAPSHOT</version>
</dependency>
```
The [develop branch](https://github.com/datumbox/datumbox-framework/tree/develop) is the development branch (default github branch), while the [master branch](https://github.com/datumbox/datumbox-framework/tree/master) contains the latest stable version of the framework. All the stable releases are marked with [tags](https://github.com/datumbox/datumbox-framework/releases).
The releases of the framework follow the [Semantic Versioning](http://semver.org/) approach. For detailed information about the various releases check out the [Changelog](./CHANGELOG.md).
Documentation and Code Examples
-------------------------------
All the public methods and classes of the Framework are documented with Javadoc comments. Moreover for every model there is a JUnit Test which clearly shows how to train and use the models. Finally for more examples on how to use the framework checkout the [Code Examples](https://github.com/datumbox/datumbox-framework-examples/) or the [official Blog](http://blog.datumbox.com/).
Pre-trained Models
------------------
Datumbox comes with a large number of pre-trained models which allow you to perform Sentiment Analysis (Document & Twitter), Subjectivity Analysis, Topic Classification, Spam Detection, Adult Content Detection, Language Detection, Commercial Detection, Educational Detection and Gender Detection. To get the binary models check out the [Datumbox Zoo](https://github.com/datumbox/datumbox-framework-zoo/).
Which methods/algorithms are supported?
---------------------------------------
The Framework currently supports performing multiple Parametric & non-parametric Statistical tests, calculating descriptive statistics on censored & uncensored data, performing ANOVA, CExcerpt of 6,344 characters
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Vasilis Vryniotis · United Kingdom
606
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1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:0d8f3999dd5c1fba, topic:nlp, readme:sentiment analysis