ComputeLRTrainingStdThroughMkl.ComputeStandardDeviation Método

Definición

Espacio de nombres:

Microsoft.ML.Trainers

Ensamblado:

Microsoft.ML.Mkl.Components.dll

Paquete:

Microsoft.ML.Mkl.Components v3.0.1

Calcula la matriz de desviación standart de cada uno de los pesos de entrenamiento no cero, necesarios para calcular aún más la desviación standart, p-value y z-Score.

public override Microsoft.ML.Data.VBuffer<float> ComputeStandardDeviation (double[] hessian, int[] weightIndices, int numSelectedParams, int currentWeightsCount, Microsoft.ML.Runtime.IChannel ch, float l2Weight);

override this.ComputeStandardDeviation : double[] * int[] * int * int * Microsoft.ML.Runtime.IChannel * single -> Microsoft.ML.Data.VBuffer<single>

Public Overrides Function ComputeStandardDeviation (hessian As Double(), weightIndices As Integer(), numSelectedParams As Integer, currentWeightsCount As Integer, ch As IChannel, l2Weight As Single) As VBuffer(Of Single)

Parámetros

hessian

Double[]

weightIndices

Int32[]

numSelectedParams

Int32

currentWeightsCount

Int32

ch

IChannel

que IChannel se usa para la mensajería.

l2Weight

Single

L2Weight usado para el entrenamiento. (Proporcione el mismo que se usó durante el entrenamiento).

Devoluciones

VBuffer<Single>