ComputeLRTrainingStdThroughMkl.ComputeStandardDeviation Metodo

Definizione

Spazio dei nomi:

Microsoft.ML.Trainers

Assembly:

Microsoft.ML.Mkl.Components.dll

Pacchetto:

Microsoft.ML.Mkl.Components v3.0.1

Calcola la matrice di deviazione standart di ognuno dei pesi di training non zero, necessari per calcolare ulteriormente la deviazione dell'oggetto standart, p-value e 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)

Parametri

hessian

Double[]

weightIndices

Int32[]

numSelectedParams

Int32

currentWeightsCount

Int32

ch

IChannel

Oggetto IChannel utilizzato per la messaggistica.

l2Weight

Single

L2Weight usato per l'allenamento. (Specificare lo stesso oggetto usato durante la formazione).

Restituisce

VBuffer<Single>