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 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