Accord.MachineLearning 2.7.0

.NET Framework This package is compatible with all versions of .NET Framework.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package Accord.MachineLearning --version 2.7.0                

                    
                

            
NuGet\Install-Package Accord.MachineLearning -Version 2.7.0
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="2.7.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Accord.MachineLearning --version 2.7.0                

                    
                

            
#r "nuget: Accord.MachineLearning, 2.7.0"
#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=2.7.0

// Install Accord.MachineLearning as a Cake Tool
#tool nuget:?package=Accord.MachineLearning&version=2.7.0

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 net is compatible. 
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 2,381 5/1/2015
2.14.6-alpha 80 4/27/2015
2.14.5-alpha 373 4/9/2015
2.14.4-alpha 126 3/15/2015
2.14.3-alpha 104 2/23/2015
2.14.2-alpha 94 2/8/2015
2.14.1-alpha 65 2/7/2015
2.14.0 3,716 12/8/2014
2.13.1 1,395 9/5/2014
2.12.0 2,412 1/5/2014
2.11.0 169 11/5/2013
2.10.0 120 9/7/2013
2.8.1 573 12/20/2012
2.8.0 169 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