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 Microsoft.ML.LightGbm 5.0.0

Prefix Reserved
There is a newer prerelease version of this package available.
See the version list below for details. 
dotnet add package Microsoft.ML.LightGbm --version 5.0.0
 
 
NuGet\Install-Package Microsoft.ML.LightGbm -Version 5.0.0
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="Microsoft.ML.LightGbm" Version="5.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Microsoft.ML.LightGbm" Version="5.0.0" />
 


 Directory.Packages.props
 

 

 
<PackageReference Include="Microsoft.ML.LightGbm" />
 


 Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add Microsoft.ML.LightGbm --version 5.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support. 
#r "nuget: Microsoft.ML.LightGbm, 5.0.0"
#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. 
#:package Microsoft.ML.LightGbm@5.0.0
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=Microsoft.ML.LightGbm&version=5.0.0
 


 Install as a Cake Addin
 

 

 
#tool nuget:?package=Microsoft.ML.LightGbm&version=5.0.0
 


 Install as a Cake Tool
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

About

ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.

For more information, see the ML.NET documentation.

This package adds the ability to use LightGBM based transformers, a gradient boosting framework that uses tree based learning algorithms.

Key Features

  • Classification/Categorization - Automatically divide customer feedback into positive and negative categories
  • Regression/Predict continuous values - Predict the price of houses based on size and location
  • Recommendations - Suggest products that online shoppers may want to buy, based on their previous purchases

How to Use

See Machine Learning Samples for an assortment of samples that show how to get started using ML.NET.

Main Types

Some of the types provided by this library are:

  • Microsoft.ML.Trainers.LightGbm.GradientBooster
  • Microsoft.ML.Trainers.LightGbm.DartBooster
  • Microsoft.ML.Trainers.LightGbm.GossBooster
  • Microsoft.ML.Trainers.LightGbm.LightGbmBinaryTrainer

Additional Documentation

Related Packages

Feedback & Contributing

Microsoft.ML is released as open source under the MIT license. Bug reports and contributions are welcome at the GitHub repository.

Product Versions Compatible and additional computed target framework versions.
.NET net5.0 net5.0 was computed.  net5.0-windows net5.0-windows was computed.  net6.0 net6.0 was computed.  net6.0-android net6.0-android was computed.  net6.0-ios net6.0-ios was computed.  net6.0-maccatalyst net6.0-maccatalyst was computed.  net6.0-macos net6.0-macos was computed.  net6.0-tvos net6.0-tvos was computed.  net6.0-windows net6.0-windows was computed.  net7.0 net7.0 was computed.  net7.0-android net7.0-android was computed.  net7.0-ios net7.0-ios was computed.  net7.0-maccatalyst net7.0-maccatalyst was computed.  net7.0-macos net7.0-macos was computed.  net7.0-tvos net7.0-tvos was computed.  net7.0-windows net7.0-windows was computed.  net8.0 net8.0 was computed.  net8.0-android net8.0-android was computed.  net8.0-browser net8.0-browser was computed.  net8.0-ios net8.0-ios was computed.  net8.0-maccatalyst net8.0-maccatalyst was computed.  net8.0-macos net8.0-macos was computed.  net8.0-tvos net8.0-tvos was computed.  net8.0-windows net8.0-windows was computed.  net9.0 net9.0 was computed.  net9.0-android net9.0-android was computed.  net9.0-browser net9.0-browser was computed.  net9.0-ios net9.0-ios was computed.  net9.0-maccatalyst net9.0-maccatalyst was computed.  net9.0-macos net9.0-macos was computed.  net9.0-tvos net9.0-tvos was computed.  net9.0-windows net9.0-windows was computed.  net10.0 net10.0 was computed.  net10.0-android net10.0-android was computed.  net10.0-browser net10.0-browser was computed.  net10.0-ios net10.0-ios was computed.  net10.0-maccatalyst net10.0-maccatalyst was computed.  net10.0-macos net10.0-macos was computed.  net10.0-tvos net10.0-tvos was computed.  net10.0-windows net10.0-windows was computed. 
.NET Core netcoreapp2.0 netcoreapp2.0 was computed.  netcoreapp2.1 netcoreapp2.1 was computed.  netcoreapp2.2 netcoreapp2.2 was computed.  netcoreapp3.0 netcoreapp3.0 was computed.  netcoreapp3.1 netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 netstandard2.0 is compatible.  netstandard2.1 netstandard2.1 was computed. 
.NET Framework net461 net461 was computed.  net462 net462 was computed.  net463 net463 was computed.  net47 net47 was computed.  net471 net471 was computed.  net472 net472 was computed.  net48 net48 was computed.  net481 net481 was computed. 
MonoAndroid monoandroid monoandroid was computed. 
MonoMac monomac monomac was computed. 
MonoTouch monotouch monotouch was computed. 
Tizen tizen40 tizen40 was computed.  tizen60 tizen60 was computed. 
Xamarin.iOS xamarinios xamarinios was computed. 
Xamarin.Mac xamarinmac xamarinmac was computed. 
Xamarin.TVOS xamarintvos xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (11)

Showing the top 5 NuGet packages that depend on Microsoft.ML.LightGbm:

Package Downloads
Microsoft.ML.AutoML

ML.NET AutoML: Optimizes an ML pipeline for your dataset, by automatically locating the best feature engineering, model, and hyperparameters
dexih.functions.ml

Data transformation and Anaytics library - Machine Learning Functions
Microsoft.ProgramSynthesis.Transformation.Formula.MachineLearning

Supporting library for Machine Learning capabilities in the Transformation.Formula DSL.
Vintasoft.Imaging.Ocr.ML

Recognize line of handwritten digits in image using neural network.
ProteoformExplorer

Proteoform Dashboard for WPF Applications

GitHub repositories (8)

Showing the top 8 popular GitHub repositories that depend on Microsoft.ML.LightGbm:

Repository Stars
CodeMazeBlog/CodeMazeGuides
The main repository for all the Code Maze guides
zLulus/NotePractice
My_Note 笔记练习demo
maker-community/ElectronBot.DotNet
一个为ElectronBot机器人和瀚文键盘（HelloWorldKeyboard）开发的上位机软件（包含机器人USB操作SDK和瀚文键盘HID操作SDK），采用Windows App SDK框架编写界面。 A host computer software developed for ElectronBot robots (including robot USB operation SDK), using the Windows App SDK framework to write UI.
buraksenyurt/skynet
Some kinds of programming tutorials on MacOS/Windows/Linux. There are 41 sample applications.
SoftUni/csharp-web
This is the official GitHub repository for the C# Web Development courses @ SoftUni
changhuixu/dotnetlabs
.NET Labs -- Show Me the Tips and Tricks and Code
Sirush/Jiten
A free, open-source platform for Japanese immersion learners. Jiten offers detailed statistics for thousands of Japanese media such as character count and difficulty, pre-built anki decks, vocabulary lists, frequency lists, user coverage, and more.
jeffprosise/ML.NET
Code samples utilizing Microsoft's ML.NET machine-learning library
Version Downloads Last Updated
6.0.0-preview.26160.2 1,244 3/12/2026
5.0.0 141,959 11/11/2025
5.0.0-preview.25527.5 391 10/29/2025
5.0.0-preview.25503.2 570 10/3/2025
5.0.0-preview.25373.1 1,696 7/28/2025
5.0.0-preview.1.25127.4 6,101 2/28/2025
5.0.0-preview.1.25125.4 271 2/25/2025
4.0.3 13,005 10/28/2025
4.0.2 140,456 2/26/2025
4.0.1 27,291 1/15/2025
4.0.0 38,129 11/13/2024
4.0.0-preview.24522.7 449 10/23/2024
4.0.0-preview.24378.1 1,792 7/29/2024
4.0.0-preview.24271.1 2,254 5/21/2024
4.0.0-preview.24162.2 1,798 3/13/2024
3.0.1 333,181 1/18/2024
3.0.0 41,518 11/27/2023
3.0.0-preview.23511.1 940 10/13/2023
3.0.0-preview.23266.6 11,038 5/17/2023
2.0.1 240,743 2/1/2023
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