LogisticRegressionParameterCalc(DoubleMatrix, Int32, PredicateDouble, Boolean) Constructor

Constructs a LogisticRegression instance optionally adding an intercept parameter. The provided matrix of values contains the observation values as one of its columns. The rest of the columns of the matrix forms the regression matrix. The floating point observation value in the matrix are converted to a vector of dichotomous values by applying the give predicate function.

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

Syntax

C++

Copy

public LogisticRegression(
	DoubleMatrix A,
	int observationColIndex,
	Predicate<double> obsPredicate,
	bool addIntercept
)

Public Sub New ( 
	A As DoubleMatrix,
	observationColIndex As Integer,
	obsPredicate As Predicate(Of Double),
	addIntercept As Boolean
)

public:
LogisticRegression(
	DoubleMatrix^ A, 
	int observationColIndex, 
	Predicate<double>^ obsPredicate, 
	bool addIntercept
)

new : 
        A : DoubleMatrix * 
        observationColIndex : int * 
        obsPredicate : Predicate<float> * 
        addIntercept : bool -> LogisticRegression

Parameters

A DoubleMatrix: A regression matrix with a column of observations values.
observationColIndex Int32: Zero based index of the column in the input matrix A which contains the observation values.
obsPredicate PredicateDouble: Rule for converting the floating point values in the vector of observations to dichotomous value.
addIntercept Boolean: If true, a column of ones is prepended onto the data in the regression matrix A, thus adding an intercept to the model. If false, the data in the regression matrix is used as given.

Reference

LogisticRegressionParameterCalc Class

LogisticRegressionParameterCalc Overload

CenterSpace.NMath.Core Namespace