Provides learning algorithms and models for XGBoost regression and classification.
Info
| Version: | 0.31.8 |
| Author(s): | Mads Dabros |
| Last Update: | Sunday, July 12, 2020 |
| .NET Fiddle: | Create the first Fiddle |
| Project Url: | https://github.com/mdabros/SharpLearning |
| NuGet Url: | https://www.nuget.org/packages/SharpLearning.XGBoost |
Install
Install-Package SharpLearning.XGBoost
dotnet add package SharpLearning.XGBoost
paket add SharpLearning.XGBoost
SharpLearning.XGBoost Download (Unzip the "nupkg" after downloading)
Dependencies
.NETStandard 2.0
- SharpLearning.Common.Interfaces(>= 0.31.8)
- SharpLearning.Containers(>= 0.31.8)
- SharpLearning.GradientBoost(>= 0.31.8)
- SharpLearning.InputOutput(>= 0.31.8)
- PicNet.XGBoost(>= 0.2.1)
- SharpLearning.Common.Interfaces(>= 0.31.8)
- SharpLearning.Containers(>= 0.31.8)
- SharpLearning.GradientBoost(>= 0.31.8)
- SharpLearning.InputOutput(>= 0.31.8)
- PicNet.XGBoost(>= 0.2.1)
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