Accord.MachineLearning 2.14.4-alpha

.NET Framework 3.5 This package targets .NET Framework 3.5. The package is compatible with this framework or higher.
This is a prerelease version of Accord.MachineLearning.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package Accord.MachineLearning --version 2.14.4-alpha                

                    
                

            
NuGet\Install-Package Accord.MachineLearning -Version 2.14.4-alpha
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="2.14.4-alpha" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Accord.MachineLearning --version 2.14.4-alpha                

                    
                

            
#r "nuget: Accord.MachineLearning, 2.14.4-alpha"
#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=2.14.4-alpha&prerelease

// Install Accord.MachineLearning as a Cake Tool
#tool nuget:?package=Accord.MachineLearning&version=2.14.4-alpha&prerelease

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.

NuGet packages (19)

Showing the top 5 NuGet packages that depend on Accord.MachineLearning:

Package Downloads
QuantConnect.Algorithm.CSharp

QuantConnect LEAN Engine: Algorithm.CSharp Project - A collection of C# algorithm demonstrations for how to use the API
Accord.Vision

Real-time face detection and tracking, as well as general methods for detecting, tracking and transforming objects in image streams. Contains Haar cascade definitions, Camshift and Dynamic Template Matching trackers. This package is part of the Accord.NET Framework.
Accord.MachineLearning.GPL

This package contains libraries of the Accord.NET Framework that are NOT available under the LGPL. It currently includes Accord.MachineLearning.GPL, which contains GPL code and thus can only be used inside GPL-compliant applications. Please take extra care before including this library in your projects.
Accord.Controls

Histograms, scatterplots and tabular data viewers for scientific applications. This package is part of the Accord.NET Framework.
Accord.Audition

Process, transforms, filters and handle audio signals for machine learning and statistical applications. This package is part of the Accord.NET Framework.

GitHub repositories (9)

Showing the top 5 popular GitHub repositories that depend on Accord.MachineLearning:

Repository Stars
QuantConnect/Lean
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
accord-net/framework
Machine learning, computer vision, statistics and general scientific computing for .NET
dukus/digiCamControl
DSLR camera remote control open source software
dajuric/accord-net-extensions
Advanced image processing and computer vision algorithms made as fluent extensions and built for portability
arklumpus/TreeViewer
Cross-platform software to draw phylogenetic trees
Version Downloads Last updated
3.8.2-alpha 155,265 11/7/2017
3.8.1-alpha 3,789 10/26/2017
3.8.0 1,226,011 10/19/2017
3.7.3-alpha 3,652 10/17/2017
3.7.2-alpha 10,315 9/22/2017
3.7.1-alpha 3,548 9/11/2017
3.7.0 38,574 8/20/2017
3.6.4-alpha 3,506 8/12/2017
3.6.3-alpha 3,599 7/16/2017
3.6.2-alpha 3,403 7/14/2017
3.6.1-alpha 3,434 7/9/2017
3.6.0 485,523 7/7/2017
3.5.4-alpha 6,506 6/18/2017
3.5.3-alpha 3,448 6/17/2017
3.5.2-alpha 3,678 6/11/2017
3.5.1-alpha 3,448 6/10/2017
3.5.0 50,797 5/21/2017
3.4.2-alpha 5,297 2/21/2017
3.4.1-alpha 3,954 1/16/2017
3.4.0 33,376 1/11/2017
3.3.2-alpha 4,325 1/6/2017
3.3.1-alpha 3,967 10/7/2016
3.3.0 29,395 9/16/2016
3.2.3-alpha 7,125 9/10/2016
3.2.2-alpha 3,737 9/4/2016
3.2.1-alpha 3,640 9/3/2016
3.2.0 8,348 8/20/2016
3.1.0-alpha 4,305 6/6/2016
3.0.2 127,154 8/16/2015
3.0.1-alpha 4,396 5/25/2015
3.0.0-alpha 3,947 5/24/2015
2.15.0 35,389 5/1/2015
2.14.6-alpha 3,887 4/27/2015
2.14.5-alpha 4,034 4/9/2015
2.14.4-alpha 3,617 3/15/2015
2.14.3-alpha 3,997 2/23/2015
2.14.2-alpha 3,765 2/8/2015
2.14.1-alpha 3,690 2/7/2015
2.14.0 19,194 12/8/2014
2.13.1 5,930 9/5/2014
2.12.0 18,967 1/5/2014
2.11.0 5,645 11/5/2013
2.10.0 4,961 9/7/2013
2.8.1 12,871 12/20/2012
2.8.0 5,381 11/6/2012
2.7.0 4,874 7/14/2012
2.6.1 3,440 5/5/2012
2.6.0.1 3,483 4/3/2012