LinearModelParameterStatistics Class

Reference

Definition

Namespace:: Microsoft.ML.Trainers

Assembly:: Microsoft.ML.StandardTrainers.dll

Package:: Microsoft.ML v3.0.1

Package:: Microsoft.ML v1.0.0

Package:: Microsoft.ML v1.1.0

Package:: Microsoft.ML v1.2.0

Package:: Microsoft.ML v1.3.1

Package:: Microsoft.ML v1.4.0

Package:: Microsoft.ML v1.5.5

Package:: Microsoft.ML v1.6.0

Package:: Microsoft.ML v1.7.0

Package:: Microsoft.ML v2.0.0

Important

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Statistics for linear model parameters.

public sealed class LinearModelParameterStatistics : Microsoft.ML.Trainers.ModelStatisticsBase

type LinearModelParameterStatistics = class
    inherit ModelStatisticsBase

Public NotInheritable Class LinearModelParameterStatistics
Inherits ModelStatisticsBase

Inheritance: Object

ModelStatisticsBase
LinearModelParameterStatistics

Fields

Deviance	(Inherited from ModelStatisticsBase)
NullDeviance	(Inherited from ModelStatisticsBase)
ParametersCount	(Inherited from ModelStatisticsBase)
TrainingExampleCount	(Inherited from ModelStatisticsBase)

Methods

GetBiasStatistics()	Computes the standart deviation, Z-Score and p-Value for the calculated bias.
GetBiasStatisticsForValue(Single)	Computes the standart deviation, Z-Score and p-Value for the value being passed as the bias.
GetWeightsCoefficientStatistics(Int32)	Gets the coefficient statistics as an object.

Explicit Interface Implementations

ICanSaveModel.Save(ModelSaveContext)

(Inherited from ModelStatisticsBase)

Applies to

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