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PcaCatalog Class

  • Reference

Definition

Namespace:
Microsoft.ML
Assembly:
Microsoft.ML.PCA.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

Collection of extension methods used by the AnomalyDetectionCatalog.AnomalyDetectionTrainers, and TransformsCatalog catalogs to create instances of Principal Component Analysis (PCA) components.

public static class PcaCatalog
type PcaCatalog = class
Public Module PcaCatalog
Inheritance
Object
PcaCatalog

Methods

ProjectToPrincipalComponents(TransformsCatalog, String, String, String, Int32, Int32, Boolean, Nullable<Int32>)

Initializes a new instance of PrincipalComponentAnalyzer.
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