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ClusteringCatalog 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 clustering components, such as trainers.

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