MultiLinearLogisticRegressionResult 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 MultiLinearLogisticRegressionResult : FitResult
Inheritance
Object    FitResult    MultiLinearLogisticRegressionResult

Properties

Intercept Gets the intercept of the regression model.
Parameters Gets the parameters of the regression.
(Inherited from FitResult)

Methods

CoefficientOf(Int32) Gets the coefficient of the input with the given index.
CoefficientOf(String) Gets the coefficient of the input with the given name.
EqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
GetHashCodeServes as the default hash function.
(Inherited from Object)
GetTypeGets the Type of the current instance.
(Inherited from Object)
Predict(Double) Computes the predicted outcome for the given inputs.
Predict(IReadOnlyListDouble) Computes the predicted outcome for the given inputs.
ToStringReturns a string that represents the current object.
(Inherited from Object)

See Also