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LightGbmExtensions Class

  • Reference

Definition

Namespace:
Microsoft.ML
Assembly:
Microsoft.ML.LightGbm.dll
Package:
Microsoft.ML.LightGbm v1.7.0
Package:
Microsoft.ML.LightGbm v1.0.0
Package:
Microsoft.ML.LightGbm v1.1.0
Package:
Microsoft.ML.LightGbm v1.2.0
Package:
Microsoft.ML.LightGbm v1.3.1
Package:
Microsoft.ML.LightGbm v1.4.0
Package:
Microsoft.ML.LightGbm v1.5.5
Package:
Microsoft.ML.LightGbm v1.6.0
Package:
Microsoft.ML.LightGbm v2.0.0-preview.22313.1

Collection of extension methods for the RegressionCatalog.RegressionTrainers, BinaryClassificationCatalog.BinaryClassificationTrainers, RankingCatalog.RankingTrainers, and MulticlassClassificationCatalog.MulticlassClassificationTrainers catalogs.

public static class LightGbmExtensions
type LightGbmExtensions = class
Public Module LightGbmExtensions
Inheritance
Object
LightGbmExtensions

Methods

LightGbm(BinaryClassificationCatalog+BinaryClassificationTrainers, LightGbmBinaryTrainer+Options)

Create LightGbmBinaryTrainer with advanced options, which predicts a target using a gradient boosting decision tree binary classification.
LightGbm(BinaryClassificationCatalog+BinaryClassificationTrainers, String, String, String, Nullable<Int32>, Nullable<Int32>, Nullable<Double>, Int32)

Create LightGbmBinaryTrainer, which predicts a target using a gradient boosting decision tree binary classification.
LightGbm(MulticlassClassificationCatalog+MulticlassClassificationTrainers, LightGbmMulticlassTrainer+Options)

Create LightGbmMulticlassTrainer with advanced options, which predicts a target using a gradient boosting decision tree multiclass classification model.
LightGbm(MulticlassClassificationCatalog+MulticlassClassificationTrainers, String, String, String, Nullable<Int32>, Nullable<Int32>, Nullable<Double>, Int32)

Create LightGbmMulticlassTrainer, which predicts a target using a gradient boosting decision tree multiclass classification model.
LightGbm(RankingCatalog+RankingTrainers, LightGbmRankingTrainer+Options)

Create LightGbmRankingTrainer with advanced options, which predicts a target using a gradient boosting decision tree ranking model.
LightGbm(RankingCatalog+RankingTrainers, String, String, String, String, Nullable<Int32>, Nullable<Int32>, Nullable<Double>, Int32)

Create LightGbmRankingTrainer, which predicts a target using a gradient boosting decision tree ranking model.
LightGbm(RegressionCatalog+RegressionTrainers, LightGbmRegressionTrainer+Options)

Create LightGbmRegressionTrainer using advanced options, which predicts a target using a gradient boosting decision tree regression model.
LightGbm(RegressionCatalog+RegressionTrainers, String, String, String, Nullable<Int32>, Nullable<Int32>, Nullable<Double>, Int32)

Create LightGbmRegressionTrainer, which predicts a target using a gradient boosting decision tree regression model.

Applies to