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PermutationFeatureImportanceExtensions Klasse

  • Referenz

Definition

Namespace:
Microsoft.ML
Assembly:
Microsoft.ML.Transforms.dll
Paket:
Microsoft.ML v3.0.1
Paket:
Microsoft.ML v1.0.0
Paket:
Microsoft.ML v1.1.0
Paket:
Microsoft.ML v1.2.0
Paket:
Microsoft.ML v1.3.1
Paket:
Microsoft.ML v1.4.0
Paket:
Microsoft.ML v1.5.5
Paket:
Microsoft.ML v1.6.0
Paket:
Microsoft.ML v1.7.0
Paket:
Microsoft.ML v2.0.0

Sammlung von Erweiterungsmethoden, die von RegressionCatalog, BinaryClassificationCatalog, MulticlassClassificationCatalog, und RankingCatalog zum Erstellen von Instanzen der Permutation Feature-Wichtigkeitskomponenten verwendet werden.

public static class PermutationFeatureImportanceExtensions
type PermutationFeatureImportanceExtensions = class
Public Module PermutationFeatureImportanceExtensions
Vererbung
Object
PermutationFeatureImportanceExtensions

Methoden

PermutationFeatureImportance(MulticlassClassificationCatalog, ITransformer, IDataView, String, Boolean, Nullable<Int32>, Int32)

Permutation Feature Importance (PFI) für MulticlassClassification.
PermutationFeatureImportance(RankingCatalog, ITransformer, IDataView, String, String, Boolean, Nullable<Int32>, Int32)

Permutation Feature Importance (PFI) für die Bewertung.
PermutationFeatureImportance(RegressionCatalog, ITransformer, IDataView, String, Boolean, Nullable<Int32>, Int32)

Permutation Feature Importance (PFI) für Regression.
PermutationFeatureImportance<TModel>(BinaryClassificationCatalog, ISingleFeaturePredictionTransformer<TModel>, IDataView, String, Boolean, Nullable<Int32>, Int32)

Permutation Feature Importance (PFI) für binäre Klassifizierung.
PermutationFeatureImportance<TModel>(MulticlassClassificationCatalog, ISingleFeaturePredictionTransformer<TModel>, IDataView, String, Boolean, Nullable<Int32>, Int32)

Permutation Feature Importance (PFI) für MulticlassClassification.
PermutationFeatureImportance<TModel>(RankingCatalog, ISingleFeaturePredictionTransformer<TModel>, IDataView, String, String, Boolean, Nullable<Int32>, Int32)

Permutation Feature Importance (PFI) für die Bewertung.
PermutationFeatureImportance<TModel>(RegressionCatalog, ISingleFeaturePredictionTransformer<TModel>, IDataView, String, Boolean, Nullable<Int32>, Int32)

Permutation Feature Importance (PFI) für Regression.
PermutationFeatureImportanceNonCalibrated(BinaryClassificationCatalog, ITransformer, IDataView, String, Boolean, Nullable<Int32>, Int32)

Permutation Feature Importance (PFI) für binäre Klassifizierung.

Gilt für: