LinearLogisticRegressionResult Class

Describes the result of a linear logistic regression fit.

Inheritance Hierarchy

SystemObject
Meta.Numerics.StatisticsFitResult
Meta.Numerics.StatisticsLinearLogisticRegressionResult

Namespace: Meta.Numerics.Statistics
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.1.4

Syntax

public sealed class LinearLogisticRegressionResult : FitResult

Public NotInheritable Class LinearLogisticRegressionResult
	Inherits FitResult

public ref class LinearLogisticRegressionResult sealed : public FitResult

[<SealedAttribute>]
type LinearLogisticRegressionResult =  
    class
        inherit FitResult
    end

The LinearLogisticRegressionResult type exposes the following members.

Properties

	Name	Description
	Intercept	Gets the intercept of the regression model.
	Parameters	Gets the parameters of the regression. (Inherited from FitResult.)
	Slope	Gets the slope of the regression model.

Methods

	Name	Description
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	Predict	Computes the outcome probability for the given value.
	ToString	Returns a string that represents the current object. (Inherited from Object.)