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PermutationFeatureImportanceExtensions Kelas

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Definisi

Ruang nama:
Microsoft.ML
Rakitan:
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

Kumpulan metode ekstensi yang digunakan oleh RegressionCatalog, , BinaryClassificationCatalogMulticlassClassificationCatalog, dan RankingCatalog untuk membuat instans komponen penting fitur permutasi.

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

Metode

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

Pentingnya Fitur Permutasi (PFI) untuk MulticlassClassification.
PermutationFeatureImportance(RankingCatalog, ITransformer, IDataView, String, String, Boolean, Nullable<Int32>, Int32)

Pentingnya Fitur Permutasi (PFI) untuk Peringkat.
PermutationFeatureImportance(RegressionCatalog, ITransformer, IDataView, String, Boolean, Nullable<Int32>, Int32)

Pentingnya Fitur Permutasi (PFI) untuk Regresi.
PermutationFeatureImportance<TModel>(BinaryClassificationCatalog, ISingleFeaturePredictionTransformer<TModel>, IDataView, String, Boolean, Nullable<Int32>, Int32)

Kepentingan Fitur Permutasi (PFI) untuk Klasifikasi Biner.
PermutationFeatureImportance<TModel>(MulticlassClassificationCatalog, ISingleFeaturePredictionTransformer<TModel>, IDataView, String, Boolean, Nullable<Int32>, Int32)

Pentingnya Fitur Permutasi (PFI) untuk MulticlassClassification.
PermutationFeatureImportance<TModel>(RankingCatalog, ISingleFeaturePredictionTransformer<TModel>, IDataView, String, String, Boolean, Nullable<Int32>, Int32)

Pentingnya Fitur Permutasi (PFI) untuk Peringkat.
PermutationFeatureImportance<TModel>(RegressionCatalog, ISingleFeaturePredictionTransformer<TModel>, IDataView, String, Boolean, Nullable<Int32>, Int32)

Pentingnya Fitur Permutasi (PFI) untuk Regresi.
PermutationFeatureImportanceNonCalibrated(BinaryClassificationCatalog, ITransformer, IDataView, String, Boolean, Nullable<Int32>, Int32)

Kepentingan Fitur Permutasi (PFI) untuk Klasifikasi Biner.

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