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RankingCatalog.RankingTrainers Class

  • Reference

Definition

Namespace:
Microsoft.ML
Assembly:
Microsoft.ML.Data.dll
Package:
Microsoft.ML v3.0.1
Package:
Microsoft.ML v1.0.0
Package:
Microsoft.ML v1.1.0
Package:
Microsoft.ML v1.2.0
Package:
Microsoft.ML v1.3.1
Package:
Microsoft.ML v1.4.0
Package:
Microsoft.ML v1.5.5
Package:
Microsoft.ML v1.6.0
Package:
Microsoft.ML v1.7.0
Package:
Microsoft.ML v2.0.0

Class used by MLContext to create instances of ranking trainers.

public sealed class RankingCatalog.RankingTrainers : Microsoft.ML.TrainCatalogBase.CatalogInstantiatorBase
type RankingCatalog.RankingTrainers = class
    inherit TrainCatalogBase.CatalogInstantiatorBase
Public NotInheritable Class RankingCatalog.RankingTrainers
Inherits TrainCatalogBase.CatalogInstantiatorBase
Inheritance
Object
TrainCatalogBase.CatalogInstantiatorBase
RankingCatalog.RankingTrainers

Extension Methods

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.
FastTree(RankingCatalog+RankingTrainers, FastTreeRankingTrainer+Options)

Create a FastTreeRankingTrainer with advanced options, which ranks a series of inputs based on their relevance, using a decision tree ranking model.
FastTree(RankingCatalog+RankingTrainers, String, String, String, String, Int32, Int32, Int32, Double)

Create a FastTreeRankingTrainer, which ranks a series of inputs based on their relevancee, using a decision tree ranking model.

Applies to