Accord.MachineLearning 3.4.2-alpha

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There is a newer version of this package available.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 3.4.2-alpha
NuGet\Install-Package Accord.MachineLearning -Version 3.4.2-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="3.4.2-alpha" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Accord.MachineLearning --version 3.4.2-alpha
#r "nuget: Accord.MachineLearning, 3.4.2-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=3.4.2-alpha&prerelease

// Install Accord.MachineLearning as a Cake Tool
#tool nuget:?package=Accord.MachineLearning&version=3.4.2-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 is compatible.  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 The ID prefix of this package has been reserved for one of the owners of this package by

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


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.


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.


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


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
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Machine learning, computer vision, statistics and general scientific computing for .NET
DSLR camera remote control open source software
Advanced image processing and computer vision algorithms made as fluent extensions and built for portability
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 Downloads Last updated
3.8.2-alpha 142,386 11/7/2017
3.8.1-alpha 3,609 10/26/2017
3.8.0 1,031,655 10/19/2017
3.7.3-alpha 3,479 10/17/2017
3.7.2-alpha 10,085 9/22/2017
3.7.1-alpha 3,413 9/11/2017
3.7.0 36,950 8/20/2017
3.6.4-alpha 3,369 8/12/2017
3.6.3-alpha 3,469 7/16/2017
3.6.2-alpha 3,253 7/14/2017
3.6.1-alpha 3,301 7/9/2017
3.6.0 412,446 7/7/2017
3.5.4-alpha 6,323 6/18/2017
3.5.3-alpha 3,288 6/17/2017
3.5.2-alpha 3,516 6/11/2017
3.5.1-alpha 3,297 6/10/2017
3.5.0 47,607 5/21/2017
3.4.2-alpha 5,155 2/21/2017
3.4.1-alpha 3,837 1/16/2017
3.4.0 32,273 1/11/2017
3.3.2-alpha 4,180 1/6/2017
3.3.1-alpha 3,799 10/7/2016
3.3.0 28,162 9/16/2016
3.2.3-alpha 6,984 9/10/2016
3.2.2-alpha 3,589 9/4/2016
3.2.1-alpha 3,503 9/3/2016
3.2.0 8,140 8/20/2016
3.1.0-alpha 4,158 6/6/2016
3.0.2 119,637 8/16/2015
3.0.1-alpha 4,244 5/25/2015
3.0.0-alpha 3,742 5/24/2015
2.15.0 34,920 5/1/2015
2.14.6-alpha 3,739 4/27/2015
2.14.5-alpha 3,878 4/9/2015
2.14.4-alpha 3,463 3/15/2015
2.14.3-alpha 3,843 2/23/2015
2.14.2-alpha 3,630 2/8/2015
2.14.1-alpha 3,552 2/7/2015
2.14.0 18,669 12/8/2014
2.13.1 5,712 9/5/2014
2.12.0 18,698 1/5/2014
2.11.0 5,438 11/5/2013
2.10.0 4,811 9/7/2013
2.8.1 12,579 12/20/2012
2.8.0 5,244 11/6/2012
2.7.0 4,753 7/14/2012
2.6.1 3,342 5/5/2012 3,383 4/3/2012