MultiLinearLogisticRegressionResult Class

Describes the result of a linear logistic regression fit.

Inheritance Hierarchy

SystemObject
Meta.Numerics.StatisticsFitResult
Meta.Numerics.StatisticsMultiLinearLogisticRegressionResult

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

Syntax

public sealed class MultiLinearLogisticRegressionResult : FitResult

Public NotInheritable Class MultiLinearLogisticRegressionResult
	Inherits FitResult

public ref class MultiLinearLogisticRegressionResult sealed : public FitResult

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

The MultiLinearLogisticRegressionResult 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.)

Methods

	Name	Description
	CoefficientOf(Int32)	Gets the coefficient of the input with the given index.
	CoefficientOf(String)	Gets the coefficient of the input with the given name.
	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(IReadOnlyListDouble)	Computes the predicted outcome for the given inputs.
	Predict(Double)	Computes the predicted outcome for the given inputs.
	ToString	Returns a string that represents the current object. (Inherited from Object.)