This package provides generic configuration class and distributed map/reduce style tasks for Weka
| Version ▼ | Vulnerabilities | Repository | Usages | Date |
|---|
1.0.x | 1.0.17 | | Central | | Feb 27, 2018 |
| 1.0.15 | | Central | | Aug 30, 2016 |
| 1.0.13 | | Central | | May 25, 2016 |
| 1.0.12 | | Central | | Mar 05, 2015 |
| 1.0.11 | | Central | | Mar 04, 2015 |
| 1.0.10 | | Central | | Dec 23, 2014 |
| 1.0.9 | | Central | | Oct 31, 2014 |
| 1.0.8 | | Central | | Sep 23, 2014 |
| 1.0.6 | | Central | | Jun 18, 2014 |
| 1.0.4 | | Central | | Mar 16, 2014 |
| 1.0.3 | | Central | | Feb 21, 2014 |
| 1.0.2 | | Central | | Nov 15, 2013 |
Related Books
 | Machine Learning Algorithms in Depth (2025)
by Smolyakov, Vadim |
 | Ultimate Java for Data Analytics and Machine Learning: Unlock Java's Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j (English Edition) (2024)
by Kumar, Abhishek |
 | Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud (2023)
by Tranquillin, Marco, Lakshmanan, Valliappa, Tekiner, Firat |
 | Machine Learning System Design Interview (2023)
by Aminian, Ali, Xu, Alex |
 | Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically (2022)
by Prosise, Jeff |
 | Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (2022)
by Huyen, Chip |
 | Machine Learning Engineering in Action (2022)
by Wilson, Ben |
 | Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (2020)
by Lakshmanan, Valliappa, Robinson, Sara, Munn, Michael |
 | Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition (2018)
by Bhatia, AshishSingh, Kaluza, Bostjan |
