48 #ifndef __vtkContingencyStatistics_h
49 #define __vtkContingencyStatistics_h
51 #include "vtkFiltersStatisticsModule.h"
54 class vtkMultiBlockDataSet;
65 void PrintSelf(ostream& os, vtkIndent indent);
72 vtkMultiBlockDataSet* ) {
return; };
81 virtual void Learn( vtkTable*,
83 vtkMultiBlockDataSet* );
87 virtual void Derive( vtkMultiBlockDataSet* );
91 virtual void Test( vtkTable*,
92 vtkMultiBlockDataSet*,
98 virtual void Assess( vtkTable*,
99 vtkMultiBlockDataSet*,
105 virtual void CalculatePValues(vtkTable*);
113 vtkDataObject* inMeta,
114 vtkStringArray* rowNames,
115 AssessFunctor*& dfunc );
121 vtkMultiBlockDataSet* inMeta,
123 vtkStringArray* rowNames,
124 AssessFunctor*& dfunc );
A class for bivariate correlation contigency tables, conditional probabilities, and information entro...
virtual void Assess(vtkTable *, vtkMultiBlockDataSet *, vtkTable *)=0
void PrintSelf(ostream &os, vtkIndent indent)
virtual void Test(vtkTable *, vtkMultiBlockDataSet *, vtkTable *)=0
Base class for statistics algorithms.
virtual void Learn(vtkTable *, vtkTable *, vtkMultiBlockDataSet *)=0
virtual void Aggregate(vtkDataObjectCollection *, vtkMultiBlockDataSet *)
virtual void Derive(vtkMultiBlockDataSet *)=0
virtual void SelectAssessFunctor(vtkTable *outData, vtkDataObject *inMeta, vtkStringArray *rowNames, AssessFunctor *&dfunc)=0