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ClusteringCatalog 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 clustering components, such as trainers.

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

Properties

Trainers

The list of trainers for performing clustering.

Methods

CrossValidate(IDataView, IEstimator<ITransformer>, Int32, String, String, String, Nullable<Int32>)

Run cross-validation over numberOfFolds folds of data, by fitting estimator, and respecting samplingKeyColumnName if provided. Then evaluate each sub-model against labelColumnName and return metrics.
Evaluate(IDataView, String, String, String)

Evaluates scored clustering data.

Applies to