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- Title
Encog: Library of Interchangeable Machine Learning Models for Java and C#.
- Authors
Heaton, Jeff
- Abstract
This paper introduces the Encog library for Java and C#, a scalable, adaptable, multi-platform machine learning framework that was first released in 2008. Encog allows a variety of machine learning models to be applied to data sets using regression, classification, and clustering. Various supported machine learning models can be used interchangeably with minimal recoding. Encog uses effcient multithreaded code to reduce training time by exploiting modern multicore processors. The current version of Encog can be downloaded from http://www.encog.org.
- Subjects
INTERCHANGEABLE mechanisms; MACHINE learning; JAVA programming language; C# (Computer program language); REGRESSION analysis; MULTICORE processors
- Publication
Journal of Machine Learning Research, 2015, Vol 16, p1243
- ISSN
1532-4435
- Publication type
Article