LogisticRegressionParameterCalcPredictedProbabilities(DoubleMatrix, DoubleVector, Boolean) Method

Returns a vector of predicted probabilities of a positive outcome for the predictor variable values contained in the rows of the input matrix A.

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

Syntax

C++

Copy

public static DoubleVector PredictedProbabilities(
	DoubleMatrix A,
	DoubleVector parameters,
	bool hasIntercept = true
)

Public Shared Function PredictedProbabilities ( 
	A As DoubleMatrix,
	parameters As DoubleVector,
	Optional hasIntercept As Boolean = true
) As DoubleVector

public:
static DoubleVector^ PredictedProbabilities(
	DoubleMatrix^ A, 
	DoubleVector^ parameters, 
	bool hasIntercept = true
)

static member PredictedProbabilities : 
        A : DoubleMatrix * 
        parameters : DoubleVector * 
        ?hasIntercept : bool 
(* Defaults:
        let _hasIntercept = defaultArg hasIntercept true
*)
-> DoubleVector

Parameters

A DoubleMatrix: A matrix of predictor values. Each row of A is a set of predictor values.
parameters DoubleVector: Vector of parameter values for the model.
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

DoubleVector
A vector of predicted probabilities of a positive outcome. The ith element of the vector is the predicted probability for the set of predictor values in the ith row of the input matrix A.

Exceptions

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

Reference

LogisticRegressionParameterCalc Class

PredictedProbabilities Overload

CenterSpace.NMath.Core Namespace