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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: 4.0.5.0 (4.0.5.0)
Syntax
public sealed class MultiLinearLogisticRegressionResult : FitResult

The MultiLinearLogisticRegressionResult type exposes the following members.

Properties
  NameDescription
Public propertyIntercept
Gets the intercept of the regression model.
Public propertyParameters
Gets the parameters of the regression.
(Inherited from FitResult.)
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Methods
  NameDescription
Public methodCoefficientOf(Int32)
Gets the coefficient of the input with the given index.
Public methodCoefficientOf(String)
Gets the coefficient of the input with the given name.
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodPredict(IReadOnlyListDouble)
Computes the predicted outcome for the given inputs.
Public methodPredict(Double)
Computes the predicted outcome for the given inputs.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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See Also