Accord.Statistics
3.7.1-alpha
See the version list below for details.
dotnet add package Accord.Statistics --version 3.7.1-alpha
NuGet\Install-Package Accord.Statistics -Version 3.7.1-alpha
<PackageReference Include="Accord.Statistics" Version="3.7.1-alpha" />
paket add Accord.Statistics --version 3.7.1-alpha
#r "nuget: Accord.Statistics, 3.7.1-alpha"
// Install Accord.Statistics as a Cake Addin #addin nuget:?package=Accord.Statistics&version=3.7.1-alpha&prerelease // Install Accord.Statistics as a Cake Tool #tool nuget:?package=Accord.Statistics&version=3.7.1-alpha&prerelease
Contains probability distributions, statistical models and methods such as Linear and Logistic regression, Hidden Markov Models, (Hidden) Conditional Random Fields, Principal Component Analysis, Partial Least Squares, Discriminant Analysis, Kernel methods and functions and many other related techniques. Provides methods for computing variances, standard deviations, averages, and many other statistical measures. 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. 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. |
-
- Accord (>= 3.7.1-alpha)
- Accord.Math (>= 3.7.1-alpha)
NuGet packages (41)
Showing the top 5 NuGet packages that depend on Accord.Statistics:
Package | Downloads |
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Accord.MachineLearning
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. |
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Accord.Imaging
Contains interest point detectors (SURF and FAST), image matching and image stitching methods. This package is part of the Accord.NET Framework. |
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Accord.Fuzzy
Contains Fuzzy logic tools, such as fuzzy sets, linguistic variables and inference systems. This package originated from the AForge.NET Framework and is part of the Accord.NET Framework. |
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QuantConnect.Algorithm.Framework
QuantConnect LEAN Engine: Algorithm.Framework Project - The core QCAlgorithm framework implementation |
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QuantConnect.Algorithm.CSharp
QuantConnect LEAN Engine: Algorithm.CSharp Project - A collection of C# algorithm demonstrations for how to use the API |
GitHub repositories (11)
Showing the top 5 popular GitHub repositories that depend on Accord.Statistics:
Repository | Stars |
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QuantConnect/Lean
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
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accord-net/framework
Machine learning, computer vision, statistics and general scientific computing for .NET
|
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Babyhamsta/Aimmy
Universal Second Eye for Gamers with Impairments (Universal AI Aim Aligner - ONNX/YOLOv8 - C#)
|
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dukus/digiCamControl
DSLR camera remote control open source software
|
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dajuric/accord-net-extensions
Advanced image processing and computer vision algorithms made as fluent extensions and built for portability
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Version | Downloads | Last updated |
---|---|---|
3.8.2-alpha | 257,522 | 11/7/2017 |
3.8.1-alpha | 6,294 | 10/26/2017 |
3.8.0 | 3,615,770 | 10/19/2017 |
3.7.3-alpha | 5,010 | 10/17/2017 |
3.7.2-alpha | 11,936 | 9/22/2017 |
3.7.1-alpha | 4,719 | 9/11/2017 |
3.7.0 | 45,105 | 8/20/2017 |
3.6.4-alpha | 4,786 | 8/12/2017 |
3.6.3-alpha | 4,904 | 7/16/2017 |
3.6.2-alpha | 4,681 | 7/14/2017 |
3.6.1-alpha | 4,737 | 7/9/2017 |
3.6.0 | 716,403 | 7/7/2017 |
3.5.4-alpha | 8,068 | 6/18/2017 |
3.5.3-alpha | 4,775 | 6/17/2017 |
3.5.2-alpha | 5,012 | 6/11/2017 |
3.5.1-alpha | 4,888 | 6/10/2017 |
3.5.0 | 57,890 | 5/21/2017 |
3.4.2-alpha | 8,309 | 2/21/2017 |
3.4.1-alpha | 5,388 | 1/16/2017 |
3.4.0 | 43,899 | 1/11/2017 |
3.3.2-alpha | 5,791 | 1/6/2017 |
3.3.1-alpha | 5,590 | 10/7/2016 |
3.3.0 | 46,360 | 9/16/2016 |
3.2.3-alpha | 8,294 | 9/10/2016 |
3.2.2-alpha | 4,737 | 9/4/2016 |
3.2.1-alpha | 4,676 | 9/3/2016 |
3.2.0 | 18,262 | 8/20/2016 |
3.1.0-alpha | 5,324 | 6/6/2016 |
3.0.2 | 207,050 | 8/16/2015 |
3.0.1-alpha | 5,696 | 5/25/2015 |
3.0.0-alpha | 5,001 | 5/24/2015 |
2.15.0 | 42,606 | 5/1/2015 |
2.14.6-alpha | 4,661 | 4/27/2015 |
2.14.5-alpha | 4,774 | 4/9/2015 |
2.14.4-alpha | 4,391 | 3/15/2015 |
2.14.3-alpha | 4,588 | 2/24/2015 |
2.14.2-alpha | 4,550 | 2/8/2015 |
2.14.1-alpha | 4,439 | 2/7/2015 |
2.14.0 | 27,051 | 12/8/2014 |
2.13.1 | 11,584 | 9/5/2014 |
2.12.0 | 21,273 | 1/5/2014 |
2.11.0 | 14,668 | 11/5/2013 |
2.10.0 | 5,986 | 9/7/2013 |
2.8.1 | 14,994 | 12/20/2012 |
2.8.0 | 10,102 | 11/6/2012 |
2.7.0 | 5,885 | 7/14/2012 |
2.6.1 | 2,453 | 5/5/2012 |
2.6.0.1 | 2,415 | 4/3/2012 |