ComputeLRTrainingStdThroughMkl.ComputeStandardDeviation Método

Definição

Namespace:

Microsoft.ML.Trainers

Assembly:

Microsoft.ML.Mkl.Components.dll

Pacote:

Microsoft.ML.Mkl.Components v3.0.1

Calcula a matriz de desvio de standart de cada um dos pesos de treinamento não zero, necessários para calcular ainda mais o desvio de standart, o p-value e o 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)

Parâmetros

hessian

Double[]

weightIndices

Int32[]

numSelectedParams

Int32

currentWeightsCount

Int32

ch

IChannel

O IChannel usado para mensagens.

l2Weight

Single

O L2Weight usado para treinamento. (Forneça o mesmo que foi usado durante o treinamento.)

Retornos

VBuffer<Single>