Accord.Statistics 3.5.0

.NET Framework 3.5 This package targets .NET Framework 3.5. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package Accord.Statistics --version 3.5.0                

                    
                

            
NuGet\Install-Package Accord.Statistics -Version 3.5.0
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.Statistics" Version="3.5.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Accord.Statistics --version 3.5.0                

                    
                

            
#r "nuget: Accord.Statistics, 3.5.0"
#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.Statistics as a Cake Addin
#addin nuget:?package=Accord.Statistics&version=3.5.0

// Install Accord.Statistics as a Cake Tool
#tool nuget:?package=Accord.Statistics&version=3.5.0

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 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 (41)

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

Package Downloads
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.
Accord.Imaging

Contains interest point detectors (SURF and FAST), image matching and image stitching methods. This package is part of the Accord.NET Framework.
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.
QuantConnect.Algorithm.Framework

QuantConnect LEAN Engine: Algorithm.Framework Project - The core QCAlgorithm framework implementation
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
QuantConnect/Lean
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
accord-net/framework
Machine learning, computer vision, statistics and general scientific computing for .NET
Babyhamsta/Aimmy
Universal Second Eye for Gamers with Impairments (Universal AI Aim Aligner - ONNX/YOLOv8 - C#)
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
Version Downloads Last updated
3.8.2-alpha 255,849 11/7/2017
3.8.1-alpha 6,289 10/26/2017
3.8.0 3,557,712 10/19/2017
3.7.3-alpha 5,005 10/17/2017
3.7.2-alpha 11,925 9/22/2017
3.7.1-alpha 4,714 9/11/2017
3.7.0 45,005 8/20/2017
3.6.4-alpha 4,779 8/12/2017
3.6.3-alpha 4,899 7/16/2017
3.6.2-alpha 4,676 7/14/2017
3.6.1-alpha 4,732 7/9/2017
3.6.0 713,482 7/7/2017
3.5.4-alpha 8,054 6/18/2017
3.5.3-alpha 4,770 6/17/2017
3.5.2-alpha 5,005 6/11/2017
3.5.1-alpha 4,883 6/10/2017
3.5.0 57,731 5/21/2017
3.4.2-alpha 8,301 2/21/2017
3.4.1-alpha 5,382 1/16/2017
3.4.0 43,868 1/11/2017
3.3.2-alpha 5,786 1/6/2017
3.3.1-alpha 5,585 10/7/2016
3.3.0 46,276 9/16/2016
3.2.3-alpha 8,289 9/10/2016
3.2.2-alpha 4,732 9/4/2016
3.2.1-alpha 4,669 9/3/2016
3.2.0 18,217 8/20/2016
3.1.0-alpha 5,319 6/6/2016
3.0.2 205,037 8/16/2015
3.0.1-alpha 5,691 5/25/2015
3.0.0-alpha 4,996 5/24/2015
2.15.0 42,593 5/1/2015
2.14.6-alpha 4,654 4/27/2015
2.14.5-alpha 4,769 4/9/2015
2.14.4-alpha 4,386 3/15/2015
2.14.3-alpha 4,583 2/24/2015
2.14.2-alpha 4,545 2/8/2015
2.14.1-alpha 4,434 2/7/2015
2.14.0 26,452 12/8/2014
2.13.1 11,560 9/5/2014
2.12.0 21,260 1/5/2014
2.11.0 14,642 11/5/2013
2.10.0 5,981 9/7/2013
2.8.1 14,987 12/20/2012
2.8.0 10,091 11/6/2012
2.7.0 5,880 7/14/2012
2.6.1 2,448 5/5/2012
2.6.0.1 2,410 4/3/2012