ComputeLRTrainingStdThroughMkl.ComputeStandardDeviation Methode

Definition

Namespace:

Microsoft.ML.Trainers

Assembly:

Microsoft.ML.Mkl.Components.dll

Paket:

Microsoft.ML.Mkl.Components v4.0.0-preview.24522.7

Quelle:

ComputeLRTrainingStdThroughHal.cs

Berechnet die Standartabweichungsmatrix jeder der Nicht-Null-Trainingsgewichte, die erforderlich sind, um die Standartabweichung, p-Wert und z-Score weiter zu berechnen.

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)

Parameter

hessian

Double[]

weightIndices

Int32[]

numSelectedParams

Int32

currentWeightsCount

Int32

ch

IChannel

Die IChannel für Messaging verwendete Nachricht.

l2Weight

Single

Das L2Weight, das für die Schulung verwendet wird. (Geben Sie dieselbe an, die während der Schulung verwendet wurde.)

Gibt zurück

VBuffer<Single>