UnlabelledData.h

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#ifndef GRT_UNLABLELLED_DATA_HEADER
#define GRT_UNLABLELLED_DATA_HEADER

#include "../Util/GRTCommon.h"

GRT_BEGIN_NAMESPACE

class UnlabelledData{
public:
 
 UnlabelledData(const UINT numDimensions = 0,const std::string datasetName = "NOT_SET",const std::string infoText = "");

 UnlabelledData(const UnlabelledData &rhs);

 ~UnlabelledData();

 UnlabelledData& operator= (const UnlabelledData &rhs);

 inline VectorFloat& operator[] (const UINT &i){
 return data[i];
 }
 
 const inline VectorFloat& operator[] (const UINT &i) const{
 return data[i];
 }

 void clear();
 
 bool setNumDimensions(const UINT numDimensions);
 
 bool setDatasetName(const std::string datasetName);
 
 bool setInfoText(const std::string infoText);

 bool addSample(const VectorFloat &sample);
 
 bool removeLastSample();
 
 bool reserve(const UINT N);
 
 bool setExternalRanges(const Vector< MinMax > &externalRanges, const bool useExternalRanges = false);
 
 bool enableExternalRangeScaling(const bool useExternalRanges);

 bool scale(const Float minTarget,const Float maxTarget);
 
 bool scale(const Vector<MinMax> &ranges,const Float minTarget,const Float maxTarget);
 
 bool save(const std::string &filename) const;
 
 bool load(const std::string &filename);
 
 bool saveDatasetToFile(const std::string &filename) const;
 
 bool loadDatasetFromFile(const std::string &filename);
 
 bool saveDatasetToCSVFile(const std::string &filename) const;
 
 bool loadDatasetFromCSVFile(const std::string &filename);

 UnlabelledData partition(const UINT partitionPercentage);
 
 bool merge(const UnlabelledData &unlabelledData);
 
 bool spiltDataIntoKFolds(const UINT K);
 
 UnlabelledData getTrainingFoldData(const UINT foldIndex) const;
 
 UnlabelledData getTestFoldData(const UINT foldIndex) const;
 
 std::string getDatasetName() const{ return datasetName; }
 
 std::string getInfoText() const{ return infoText; }

 std::string getStatsAsString() const;
 
 UINT inline getNumDimensions() const{ return numDimensions; }
 
 UINT inline getNumSamples() const{ return totalNumSamples; }
 
 Vector<MinMax> getRanges() const;
 
 Vector< VectorFloat > getData() const;
 
 MatrixDouble getDataAsMatrixDouble() const;

 MatrixFloat getDataAsMatrixFloat() const;

private:
 std::string datasetName; 
 std::string infoText; 
 UINT numDimensions; 
 UINT totalNumSamples; 
 UINT kFoldValue; 
 bool crossValidationSetup; 
 bool useExternalRanges; 
 Vector< MinMax > externalRanges; 
 
 Vector< VectorFloat > data; 
 Vector< Vector< UINT > > crossValidationIndexs; 
 
 DebugLog debugLog; 
 ErrorLog errorLog; 
 WarningLog warningLog; 
 
};

GRT_END_NAMESPACE

#endif //GRT_UNLABLELLED_CLASSIFICATION_DATA_HEADER