Accord.MachineLearning 3.8.0

There is a newer prerelease version of this package available.
See the version list below for details.
dotnet add package Accord.MachineLearning --version 3.8.0
NuGet\Install-Package Accord.MachineLearning -Version 3.8.0
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="3.8.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Accord.MachineLearning --version 3.8.0
#r "nuget: Accord.MachineLearning, 3.8.0"
#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=3.8.0

// Install Accord.MachineLearning as a Cake Tool
#tool nuget:?package=Accord.MachineLearning&version=3.8.0

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 net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp1.0 was computed.  netcoreapp1.1 was computed.  netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard1.4 is compatible.  netstandard1.5 was computed.  netstandard1.6 was computed.  netstandard2.0 is compatible.  netstandard2.1 was computed. 
.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 is compatible.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen30 was computed.  tizen40 was computed.  tizen60 was computed. 
Universal Windows Platform uap was computed.  uap10.0 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos 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 NuGet.org.

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
ArmenAg/Improvisation
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 140,491 11/7/2017
3.8.1-alpha 3,380 10/26/2017
3.8.0 998,809 10/19/2017
3.7.3-alpha 3,274 10/17/2017
3.7.2-alpha 9,846 9/22/2017
3.7.1-alpha 3,219 9/11/2017
3.7.0 36,483 8/20/2017
3.6.4-alpha 3,126 8/12/2017
3.6.3-alpha 3,260 7/16/2017
3.6.2-alpha 3,087 7/14/2017
3.6.1-alpha 3,105 7/9/2017
3.6.0 396,258 7/7/2017
3.5.4-alpha 6,105 6/18/2017
3.5.3-alpha 3,053 6/17/2017
3.5.2-alpha 3,198 6/11/2017
3.5.1-alpha 3,076 6/10/2017
3.5.0 47,129 5/21/2017
3.4.2-alpha 4,922 2/21/2017
3.4.1-alpha 3,614 1/16/2017
3.4.0 31,860 1/11/2017
3.3.2-alpha 3,931 1/6/2017
3.3.1-alpha 3,552 10/7/2016
3.3.0 27,803 9/16/2016
3.2.3-alpha 6,778 9/10/2016
3.2.2-alpha 3,365 9/4/2016
3.2.1-alpha 3,265 9/3/2016
3.2.0 7,905 8/20/2016
3.1.0-alpha 3,920 6/6/2016
3.0.2 117,855 8/16/2015
3.0.1-alpha 4,000 5/25/2015
3.0.0-alpha 3,521 5/24/2015
2.15.0 34,637 5/1/2015
2.14.6-alpha 3,502 4/27/2015
2.14.5-alpha 3,704 4/9/2015
2.14.4-alpha 3,295 3/15/2015
2.14.3-alpha 3,600 2/23/2015
2.14.2-alpha 3,414 2/8/2015
2.14.1-alpha 3,324 2/7/2015
2.14.0 18,271 12/8/2014
2.13.1 5,488 9/5/2014
2.12.0 18,405 1/5/2014
2.11.0 5,224 11/5/2013
2.10.0 4,600 9/7/2013
2.8.1 12,360 12/20/2012
2.8.0 5,024 11/6/2012
2.7.0 4,529 7/14/2012
2.6.1 3,177 5/5/2012
2.6.0.1 3,187 4/3/2012