RankingCatalog 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

Important

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Class used by MLContext to create instances of ranking components, such as trainers and evaluators.

public sealed class RankingCatalog : Microsoft.ML.TrainCatalogBase

type RankingCatalog = class
    inherit TrainCatalogBase

Public NotInheritable Class RankingCatalog
Inherits TrainCatalogBase

Inheritance: Object

TrainCatalogBase
RankingCatalog

Properties

Trainers

The list of trainers for performing regression.

Methods

CrossValidate(IDataView, IEstimator<ITransformer>, Int32, String, String, Nullable<Int32>)	Run cross-validation over `numberOfFolds` folds of `data`, by fitting `estimator`, and respecting `rowGroupColumnName`if provided. Then evaluate each sub-model against `labelColumnName` and return metrics.
Evaluate(IDataView, RankingEvaluatorOptions, String, String, String)	Evaluates scored ranking data.
Evaluate(IDataView, String, String, String)	Evaluates scored ranking data.

Extension Methods

PermutationFeatureImportance(RankingCatalog, ITransformer, IDataView, String, String, Boolean, Nullable<Int32>, Int32)	Permutation Feature Importance (PFI) for Ranking.
PermutationFeatureImportance<TModel>(RankingCatalog, ISingleFeaturePredictionTransformer<TModel>, IDataView, String, String, Boolean, Nullable<Int32>, Int32)	Permutation Feature Importance (PFI) for Ranking.

Applies to

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