
Library for making life easier when dealing with Weka option handling.
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 |