Uses of Class
net.sf.myra.datamining.AbstractObjectiveFunction

Packages that use AbstractObjectiveFunction
net.sf.myra.datamining   
net.sf.myra.datamining.function   
net.sf.myra.datamining.function.hierarchical   
 

Uses of AbstractObjectiveFunction in net.sf.myra.datamining
 

Methods in net.sf.myra.datamining that return AbstractObjectiveFunction
 AbstractObjectiveFunction AbstractPruner.getFunction()
          Returns the ObjectiveFunction instance.
 

Constructors in net.sf.myra.datamining with parameters of type AbstractObjectiveFunction
AbstractPruner(AbstractObjectiveFunction function, ClassAssignator assignator)
          Default constructor.
BacktrackPruner(AbstractObjectiveFunction function, ClassAssignator assignator)
           
ErrorBasedPruner(AbstractObjectiveFunction function, ClassAssignator assignator)
          Creates a new ReducedErrorPruner instance.
HierarchicalPruner(AbstractObjectiveFunction function, ClassAssignator assignator)
           
Pruner(AbstractObjectiveFunction function, ClassAssignator assignator)
          Creates a new Pruner instance.
ReversePruner(AbstractObjectiveFunction function, ClassAssignator assignator)
          Creates a new ReversePruner instance.
 

Uses of AbstractObjectiveFunction in net.sf.myra.datamining.function
 

Subclasses of AbstractObjectiveFunction in net.sf.myra.datamining.function
 class AccuracyFunction
           
 class ConfidenceCoverageFunction
          This class implements the confidence + coverage rule evaluation function.
 class CostMeasureFunction
           
 class ErrorBasedFunction
          This class represents a objective function based on the pressimistic error rate used by C4.5 algorithm.
 class FmeasureFunction
           
 class JaccardFunction
          This class implements the Jaccard rule evaluation function.
 class KlosgenFunction
          This class implements the Klosgen rule evaluation function.
 class LaplaceFunction
          This class represents the Laplace rule quality function.
 class MEstimateFunction
          This class implements the m-estimate rule evaluation function.
 class RelativeCostMeasureFunction
           
 class SensitivitySpecificityFunction
          This class represents the sensitivity x specificity rule quality measure.
 

Uses of AbstractObjectiveFunction in net.sf.myra.datamining.function.hierarchical
 

Subclasses of AbstractObjectiveFunction in net.sf.myra.datamining.function.hierarchical
 class hFmeasure
          This class represents the hierarchical F-measure function.
 class hJaccard
           
 class hLocalErrorBasedFunction
           
 class hLocalJaccard
           
 class LocalFunction
           
 class PooledPRCurveFunction
           
 class VarianceFunction
           
 class VarianceGainFunction
           
 



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