LogisticRegressionParameterCalcPredictedProbability(DoubleVector, DoubleVector, Boolean) Method

Returns the probability of a positve outcome predicted by the model for the given set of predictor values.

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4

Syntax

public static double PredictedProbability(
	DoubleVector x,
	DoubleVector parameters,
	bool hasIntercept = true
)

Public Shared Function PredictedProbability ( 
	x As DoubleVector,
	parameters As DoubleVector,
	Optional hasIntercept As Boolean = true
) As Double

public:
static double PredictedProbability(
	DoubleVector^ x, 
	DoubleVector^ parameters, 
	bool hasIntercept = true
)

static member PredictedProbability : 
        x : DoubleVector * 
        parameters : DoubleVector * 
        ?hasIntercept : bool 
(* Defaults:
        let _hasIntercept = defaultArg hasIntercept true
*)
-> float

Parameters

x DoubleVector: A set of predictor values.
parameters DoubleVector: The model parameters.
hasIntercept Boolean (Optional): If true the model contains an intercept parameter (the default). In this case the length of the vector x must be one less than the length of the parameters vector. If false the length of x must be equal to the length of the parameters vector.

Return Value

Double
The probability of a positive outcome predicted by the model.

Exceptions

Exception	Condition
MismatchedSizeException	Thrown if the length of the given vector is not equal to the number of parameters in the model.

Reference

LogisticRegressionParameterCalc Class

PredictedProbability Overload

CenterSpace.NMath.Core Namespace