AnomalyDetectionCatalog.AnomalyDetectionTrainers 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 anomaly detection trainers.

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

Extension Methods

RandomizedPca(AnomalyDetectionCatalog+AnomalyDetectionTrainers, RandomizedPcaTrainer+Options)

Create RandomizedPcaTrainer with advanced options, which trains an approximate principal component analysis (PCA) model using randomized singular value decomposition (SVD) algorithm.
RandomizedPca(AnomalyDetectionCatalog+AnomalyDetectionTrainers, String, String, Int32, Int32, Boolean, Nullable<Int32>)

Create RandomizedPcaTrainer, which trains an approximate principal component analysis (PCA) model using randomized singular value decomposition (SVD) algorithm.

Applies to