CategoricalEntailmentEnsembleOptimizationContext Constructor

public CategoricalEntailmentEnsembleOptimizationContext(
	Func<DoubleMatrix, double> objectiveFunction,
	List<int> featureCategoryCounts,
	int numberOfResponseCategories,
	int numberOfCategoricalEntailments,
	bool allowEntailmentPartialTruthValues,
	double probabilitySmoothingCoefficient,
	OptimizationGoal optimizationGoal,
	int minimumNumberOfIterations,
	int maximumNumberOfIterations
)

Public Sub New ( 
	objectiveFunction As Func(Of DoubleMatrix, Double),
	featureCategoryCounts As List(Of Integer),
	numberOfResponseCategories As Integer,
	numberOfCategoricalEntailments As Integer,
	allowEntailmentPartialTruthValues As Boolean,
	probabilitySmoothingCoefficient As Double,
	optimizationGoal As OptimizationGoal,
	minimumNumberOfIterations As Integer,
	maximumNumberOfIterations As Integer
)

public:
CategoricalEntailmentEnsembleOptimizationContext(
	Func<DoubleMatrix^, double>^ objectiveFunction, 
	List<int>^ featureCategoryCounts, 
	int numberOfResponseCategories, 
	int numberOfCategoricalEntailments, 
	bool allowEntailmentPartialTruthValues, 
	double probabilitySmoothingCoefficient, 
	OptimizationGoal optimizationGoal, 
	int minimumNumberOfIterations, 
	int maximumNumberOfIterations
)

new : 
        objectiveFunction : Func<DoubleMatrix, float> * 
        featureCategoryCounts : List<int> * 
        numberOfResponseCategories : int * 
        numberOfCategoricalEntailments : int * 
        allowEntailmentPartialTruthValues : bool * 
        probabilitySmoothingCoefficient : float * 
        optimizationGoal : OptimizationGoal * 
        minimumNumberOfIterations : int * 
        maximumNumberOfIterations : int -> CategoricalEntailmentEnsembleOptimizationContext

Parameters

objectiveFunction  FuncDoubleMatrix, Double

The function to be optimized.

featureCategoryCounts  ListInt32

A list whose length equals the number of features on which are based the premises of the categorical entailments to be searched. At a given position, the list stores the number of categories in the corresponding feature variable.

numberOfResponseCategories  Int32

The number of categories in the feature variable about which is defined the conclusions of the categorical entailments to be searched.

numberOfCategoricalEntailments  Int32

The number of categorical entailments to be selected.

allowEntailmentPartialTruthValues  Boolean

If set to true signals that the truth value of a sampled categorical entailment must be equal to the homogeneity of the probability distribution from which its conclusion has been drawn. Otherwise, the truth value is unity.

probabilitySmoothingCoefficient  Double

A coefficient to define the smoothing scheme for the probabilities of the Cross-Entropy parameters exploited by this context.

optimizationGoal  OptimizationGoal

A constant to specify if the function must be minimized or maximized.

minimumNumberOfIterations  Int32

The minimum number of iterations required by this context.

maximumNumberOfIterations  Int32

The maximum number of iterations allowed by this context.

It is assumed that the objectiveFunction will accept row vectors as valid representations of an argument.

As discussed by Rubinstein and Kroese, Remark 5.2, p. 189^[1], typical values for probabilitySmoothingCoefficient are between .7 and 1 (excluded).

Reference