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LightGbmExtensions Class

Definition

public static class LightGbmExtensions
type LightGbmExtensions = class
Public Module LightGbmExtensions
Inheritance
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, Stream, String)

Create LightGbmBinaryTrainer from a pre-trained LightGBM model, 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, Stream, String)

Create LightGbmMulticlassTrainer from a pre-trained LightGBM model, 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, Stream, String)

Create LightGbmRankingTrainer from a pre-trained LightGBM model, 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, Stream, String)

Create LightGbmRegressionTrainer from a pre-trained LightGBM model, which predicts a target using a gradient boosting decision tree regression.

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