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

  • arXiv (Cornell University)
  • Cornell University
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Abstract

This paper introduces the Encog library for Java and C#, a scalable,\nadaptable, multiplatform machine learning framework that was 1st released in\n2008. Encog allows a variety of machine learning models to be applied to\ndatasets using regression, classification, and clustering. Various supported\nmachine learning models can be used interchangeably with minimal recoding.\nEncog uses efficient multithreaded code to reduce training time by exploiting\nmodern multicore processors. The current version of Encog can be downloaded\nfrom http://www.encog.org.\n

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Publication details

DOI
10.48550/arxiv.1506.04776
OpenAlex
W4300124873
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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