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ComputeLRTrainingStdThroughMkl Classe

  • Référence

Définition

Espace de noms:
Microsoft.ML.Trainers
Assembly:
Microsoft.ML.Mkl.Components.dll
Paquet:
Microsoft.ML.Mkl.Components v3.0.1
Paquet:
Microsoft.ML.Mkl.Components v1.0.0
Paquet:
Microsoft.ML.Mkl.Components v1.1.0
Paquet:
Microsoft.ML.Mkl.Components v1.2.0
Paquet:
Microsoft.ML.Mkl.Components v1.3.1
Paquet:
Microsoft.ML.Mkl.Components v1.4.0
Paquet:
Microsoft.ML.Mkl.Components v1.5.5
Paquet:
Microsoft.ML.Mkl.Components v1.6.0
Paquet:
Microsoft.ML.Mkl.Components v1.7.0
Paquet:
Microsoft.ML.Mkl.Components v2.0.0
public sealed class ComputeLRTrainingStdThroughMkl : Microsoft.ML.Trainers.ComputeLogisticRegressionStandardDeviation
type ComputeLRTrainingStdThroughMkl = class
    inherit ComputeLogisticRegressionStandardDeviation
Public NotInheritable Class ComputeLRTrainingStdThroughMkl
Inherits ComputeLogisticRegressionStandardDeviation
Héritage
Object
ComputeLogisticRegressionStandardDeviation
ComputeLRTrainingStdThroughMkl

Constructeurs

ComputeLRTrainingStdThroughMkl()

Méthodes

ComputeStandardDeviation(Double[], Int32[], Int32, Int32, IChannel, Single)

Calcule la matrice d’écart standart de chacun des poids d’entraînement non zéro, nécessaire pour calculer davantage l’écart standart, la valeur p et z-Score.

S’applique à