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RankingCatalog Class

Definition

Namespace:
Microsoft.ML
Assembly:
Microsoft.ML.Data.dll
Package:
Microsoft.ML v4.0.1
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 v2.0.1
Package:
Microsoft.ML v3.0.1
Package:
Microsoft.ML v5.0.0-preview.1.25125.4
Source:
TrainCatalog.cs
Source:
TrainCatalog.cs
Source:
TrainCatalog.cs

Important

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

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
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 rowGroupColumnNameif 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