Accord.MachineLearning 2.15.0

dotnet add package Accord.MachineLearning --version 2.15.0
NuGet\Install-Package Accord.MachineLearning -Version 2.15.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Accord.MachineLearning" Version="2.15.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Accord.MachineLearning --version 2.15.0
#r "nuget: Accord.MachineLearning, 2.15.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install Accord.MachineLearning as a Cake Addin
#addin nuget:?package=Accord.MachineLearning&version=2.15.0

// Install Accord.MachineLearning as a Cake Tool
#tool nuget:?package=Accord.MachineLearning&version=2.15.0

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.

Product Compatible and additional computed target framework versions.
.NET Framework net35 is compatible.  net40 is compatible.  net403 was computed.  net45 is compatible.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

GitHub repositories (9)

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Version Downloads Last updated
2.15.0 2,380 5/1/2015
2.14.6-alpha 78 4/27/2015
2.14.5-alpha 372 4/9/2015
2.14.4-alpha 125 3/15/2015
2.14.3-alpha 102 2/23/2015
2.14.2-alpha 92 2/8/2015
2.14.1-alpha 63 2/7/2015
2.14.0 3,714 12/8/2014
2.13.1 1,394 9/5/2014
2.12.0 2,410 1/5/2014
2.11.0 168 11/5/2013
2.10.0 120 9/7/2013
2.8.1 573 12/20/2012
2.8.0 168 11/6/2012
2.7.0 96 7/14/2012
2.6.1 97 5/5/2012
2.6.0.1 94 4/3/2012