DecisionTreeTripleFeatureNode.h

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#ifndef GRT_DECISION_TREE_TRIPLE_FEATURE_NODE_HEADER
#define GRT_DECISION_TREE_TRIPLE_FEATURE_NODE_HEADER

#include "DecisionTreeNode.h"
#include "../../ClusteringModules/KMeans/KMeans.h"

GRT_BEGIN_NAMESPACE
 
class GRT_API DecisionTreeTripleFeatureNode : public DecisionTreeNode{
public:
 DecisionTreeTripleFeatureNode();
 
 virtual ~DecisionTreeTripleFeatureNode();
 
 virtual bool predict(const VectorFloat &x);
 
 virtual bool clear();
 
 virtual bool print() const;
 
 virtual bool getModel( std::ostream &stream ) const;
 
 virtual Node* deepCopyNode() const;
 
 DecisionTreeTripleFeatureNode* deepCopy() const;
 
 UINT getFeatureIndexA() const;
 
 UINT getFeatureIndexB() const;
 
 UINT getFeatureIndexC() const;
 
 bool set(const UINT nodeSize,const UINT featureIndexA,const UINT featureIndexB,const UINT featureIndexC,const VectorFloat &classProbabilities);
 
protected:
 
 virtual bool computeBestSpiltBestIterativeSpilt( const UINT &numSplittingSteps, const ClassificationData &trainingData, const Vector< UINT > &features, const Vector< UINT > &classLabels, UINT &featureIndex, Float &minError );
 
 virtual bool computeBestSpiltBestRandomSpilt( const UINT &numSplittingSteps, const ClassificationData &trainingData, const Vector< UINT > &features, const Vector< UINT > &classLabels, UINT &featureIndex, Float &minError );
 
 bool computeBestSpilt( const UINT &numSplittingSteps, const ClassificationData &trainingData, const Vector< UINT > &features, const Vector< UINT > &classLabels, UINT &featureIndex, Float &minError );
 
 virtual bool saveParametersToFile( std::fstream &file ) const;
 
 virtual bool loadParametersFromFile( std::fstream &file );
 
 UINT featureIndexA;
 UINT featureIndexB;
 UINT featureIndexC;
 static RegisterNode< DecisionTreeTripleFeatureNode > registerModule;
};

GRT_END_NAMESPACE

#endif //GRT_DECISION_TREE_TRIPLE_FEATURE_NODE_HEADER