Encog: Library of Interchangeable Machine Learning Models for Java and C#

June 15, 2015 · Entered Twilight · 🏛 Journal of machine learning research

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Authors Jeff Heaton arXiv ID 1506.04776 Category cs.MS: Mathematical Software Cross-listed cs.LG Citations 80 Venue Journal of machine learning research Repository https://github.com/encog/encog-java-core ⭐ 752 Last Checked 1 month ago

Abstract

This paper introduces the Encog library for Java and C#, a scalable, adaptable, multiplatform machine learning framework that was 1st released in 2008. Encog allows a variety of machine learning models to be applied to datasets using regression, classification, and clustering. Various supported machine learning models can be used interchangeably with minimal recoding. Encog uses efficient multithreaded code to reduce training time by exploiting modern multicore processors. The current version of Encog can be downloaded from http://www.encog.org.