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ComputeLRTrainingStdThroughMkl Class

  • Reference

Definition

Namespace:
Microsoft.ML.Trainers
Assembly:
Microsoft.ML.Mkl.Components.dll
Package:
Microsoft.ML.Mkl.Components v3.0.1
Package:
Microsoft.ML.Mkl.Components v1.0.0
Package:
Microsoft.ML.Mkl.Components v1.1.0
Package:
Microsoft.ML.Mkl.Components v1.2.0
Package:
Microsoft.ML.Mkl.Components v1.3.1
Package:
Microsoft.ML.Mkl.Components v1.4.0
Package:
Microsoft.ML.Mkl.Components v1.5.5
Package:
Microsoft.ML.Mkl.Components v1.6.0
Package:
Microsoft.ML.Mkl.Components v1.7.0
Package:
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
Inheritance
Object
ComputeLogisticRegressionStandardDeviation
ComputeLRTrainingStdThroughMkl

Constructors

ComputeLRTrainingStdThroughMkl()

Methods

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

Computes the standart deviation matrix of each of the non-zero training weights, needed to calculate further the standart deviation, p-value and z-Score.

Applies to