Project details for Encog Machine Learning Framework

Logo Encog Machine Learning Framework 3.1

by jeffheaton - January 1, 2013, 00:05:08 CET [ Project Homepage BibTeX Download ]

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Description:

Encog is an advanced machine learning framework that supports a variety of advanced algorithms, as well as support classes to normalize and process data. Machine learning algorithms such as Support Vector Machines, Artificial Neural Networks, Genetic Programming, Bayesian Networks, Hidden Markov Models and Genetic Algorithms are supported. Most Encog training algoritms are multi-threaded and scale well to multicore hardware. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train machine learning algorithms. Encog has been in active development since 2008.

Encog is available for Java, .Net and C/C++.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Linux, Windows, Mac Os X
Data Formats: Csv, Excel
Tags: Support Vector Machine, Bayesian Networks, Ai, Ann, Genetic Programming, Hidden Markov Model
Archive: download here

Other available revisons

Version Changelog Date
3.2

Changes for Encog 3.2:

Issue #53: Fix Out Of Range Bug In BasicMLSequenceSet. Issue #52: Unhandled exception in Encog.Util.File.ResourceLoader.CreateStream (ResourceLoader.cs) Issue #50: Concurrency bugs in PruneIncremental Issue #48: Unit Tests Failing - TestHessian Issue #46: Couple of small fixes - Temporal DataSet and SCG training Issue #45: Fixed EndMinutesStrategy to correctly evaluate ShouldStop after the specified number of minutes have elapsed. Issue #44: Encog.ML.Data.Basic.BasicMLDataPairCentroid.Add() & .Remove() Issue #43: Unit Tests Failing - Matrix not full rank Issue #42: Nuget - NuSpec Issue #36: Load Examples easier

July 5, 2014, 23:47:06
3.1

Initial Announcement on mloss.org.

January 1, 2013, 00:05:08

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