dotnet add package Accord.MachineLearning --version 3.8.2-alpha
NuGet\Install-Package Accord.MachineLearning -Version 3.8.2-alpha
<PackageReference Include="Accord.MachineLearning" Version="3.8.2-alpha" />
paket add Accord.MachineLearning --version 3.8.2-alpha
#r "nuget: Accord.MachineLearning, 3.8.2-alpha"
// Install Accord.MachineLearning as a Cake Addin #addin nuget:?package=Accord.MachineLearning&version=3.8.2-alpha&prerelease // Install Accord.MachineLearning as a Cake Tool #tool nuget:?package=Accord.MachineLearning&version=3.8.2-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||Versions 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.|
|.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.|
NuGet packages (18)
Showing the top 5 NuGet packages that depend on Accord.MachineLearning:
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.
Mapping and geo-spatial functionality in your .NET software solutions.
GitHub repositories (8)
Showing the top 5 popular GitHub repositories that depend on Accord.MachineLearning:
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.