LinearLogisticRegressionResult Class

Describes the result of a linear logistic regression fit.

Definition

Namespace: Meta.Numerics.Statistics
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.2.0+6d77d64445f7d5d91b12e331399c4362ecb25333

C#

public sealed class LinearLogisticRegressionResult : FitResult

VB

Public NotInheritable Class LinearLogisticRegressionResult
	Inherits FitResult

C++

public ref class LinearLogisticRegressionResult sealed : public FitResult

F#

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

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.

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)