Accord.MachineLearning 2.14.6-alpha

Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.

This is a prerelease version of Accord.MachineLearning.
There is a newer version of this package available.
See the version list below for details.
Install-Package Accord.MachineLearning -Version 2.14.6-alpha
dotnet add package Accord.MachineLearning --version 2.14.6-alpha
<PackageReference Include="Accord.MachineLearning" Version="2.14.6-alpha" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Accord.MachineLearning --version 2.14.6-alpha
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

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dajuric/accord-net-extensions
Advanced image processing and computer vision algorithms made as fluent extensions and built for portability
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Toggl's mobile apps
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A program that learns music structure of given midi files and able to generate new melodies by judmental of other compositions. E.g. generate melody in style of Armstrong as negatively judged by Eminem and positively by Bach.

Version History

Version Downloads Last updated
3.8.2-alpha 21,277 11/7/2017
3.8.1-alpha 343 10/26/2017
3.8.0 103,931 10/19/2017
3.7.3-alpha 255 10/17/2017
3.7.2-alpha 4,940 9/22/2017
3.7.1-alpha 347 9/11/2017
3.7.0 6,882 8/20/2017
3.6.4-alpha 301 8/12/2017
3.6.3-alpha 449 7/16/2017
3.6.2-alpha 281 7/14/2017
3.6.1-alpha 297 7/9/2017
3.6.0 23,288 7/7/2017
3.5.4-alpha 3,281 6/18/2017
3.5.3-alpha 280 6/17/2017
3.5.2-alpha 447 6/11/2017
3.5.1-alpha 389 6/10/2017
3.5.0 11,015 5/21/2017
3.4.2-alpha 2,214 2/21/2017
3.4.1-alpha 901 1/16/2017
3.4.0 12,655 1/11/2017
3.3.2-alpha 1,213 1/6/2017
3.3.1-alpha 803 10/7/2016
3.3.0 12,653 9/16/2016
3.2.3-alpha 3,802 9/10/2016
3.2.2-alpha 441 9/4/2016
3.2.1-alpha 381 9/3/2016
3.2.0 2,981 8/20/2016
3.1.0-alpha 837 6/6/2016
3.0.2 38,455 8/16/2015
3.0.1-alpha 1,066 5/25/2015
3.0.0-alpha 513 5/24/2015
2.15.0 6,202 5/1/2015
2.14.6-alpha 502 4/27/2015
2.14.5-alpha 920 4/9/2015
2.14.4-alpha 565 3/15/2015
2.14.3-alpha 542 2/23/2015
2.14.2-alpha 523 2/8/2015
2.14.1-alpha 481 2/7/2015
2.14.0 5,903 12/8/2014
2.13.1 2,022 9/5/2014
2.12.0 10,919 1/5/2014
2.11.0 1,558 11/5/2013
2.10.0 985 9/7/2013
2.8.1 6,538 12/20/2012
2.8.0 1,296 11/6/2012
2.7.0 1,059 7/14/2012
2.6.1 932 5/5/2012
2.6.0.1 800 4/3/2012
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