PicNet.XGBoost 0.2.1

.NET Framework This package is compatible with all versions of .NET Framework.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package PicNet.XGBoost --version 0.2.1                

                    
                

            
NuGet\Install-Package PicNet.XGBoost -Version 0.2.1
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="PicNet.XGBoost" Version="0.2.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add PicNet.XGBoost --version 0.2.1                

                    
                

            
#r "nuget: PicNet.XGBoost, 0.2.1"
#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 PicNet.XGBoost as a Cake Addin
#addin nuget:?package=PicNet.XGBoost&version=0.2.1

// Install PicNet.XGBoost as a Cake Tool
#tool nuget:?package=PicNet.XGBoost&version=0.2.1

.Net wrapper for the XGBoost machine learning library. Targeted for x64 and supports .Net Framework versions 4.0 and above.

Product Compatible and additional computed target framework versions.
.NET Framework net is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

This package has no dependencies.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on PicNet.XGBoost:

Package Downloads
SharpLearning.XGBoost

Provides learning algorithms and models for XGBoost regression and classification.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on PicNet.XGBoost:

Repository Stars
mdabros/SharpLearning
Machine learning for C# .Net
Version Downloads Last updated
0.2.2 2,600 9/26/2018
0.2.1 59,065 5/21/2018
0.2.0 1,335 5/15/2018
0.1.3 1,778 6/8/2017
0.1.2 1,117 2/23/2017
0.1.1 1,049 2/16/2017
0.1.0 1,131 12/7/2016

Include minor and major fixes