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PCAModel.h 2.22 KiB
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  • #ifndef PCAModel_h
    #define PCAModel_h
    
    #include "DimensionalityReductionModel.h"
    #include <shark/Algorithms/Trainers/PCA.h>
    
    namespace otb
    {
    template <class TInputValue>
    class ITK_EXPORT PCAModel: public  DimensionalityReductionModel<TInputValue,TInputValue>   
    {
    
    public:
    	
    	typedef PCAModel Self;
    	typedef DimensionalityReductionModel<TInputValue,TInputValue> Superclass;
    	typedef itk::SmartPointer<Self> Pointer;
    	typedef itk::SmartPointer<const Self> ConstPointer;
    
    	typedef typename Superclass::InputValueType InputValueType;
    	typedef typename Superclass::InputSampleType InputSampleType;
    	typedef typename Superclass::InputListSampleType InputListSampleType;
    	typedef typename Superclass::TargetValueType TargetValueType;
    	typedef typename Superclass::TargetSampleType TargetSampleType;
    	typedef typename Superclass::TargetListSampleType TargetListSampleType;
    	typedef typename Superclass::ConfidenceValueType ConfidenceValueType;
    	typedef typename Superclass::ConfidenceSampleType ConfidenceSampleType;
    	typedef typename Superclass::ConfidenceListSampleType ConfidenceListSampleType;
    
    	itkNewMacro(Self);
    	itkTypeMacro(AutoencoderModel, DimensionalityReductionModel);
    
    	unsigned int GetDimension() {return m_Dimension;}; 
    
    	
    	bool CanReadFile(const std::string & filename);
    	bool CanWriteFile(const std::string & filename);
    
    	void Save(const std::string & filename, const std::string & name="")  ITK_OVERRIDE;
    	void Load(const std::string & filename, const std::string & name="")  ITK_OVERRIDE;
    
    	void Train() ITK_OVERRIDE;
    	//void Dimensionality_reduction()  {}; // Dimensionality reduction is done by DoPredict
    	 
    
    protected:
    	PCAModel();	
    	~PCAModel() ITK_OVERRIDE;
     
    	virtual TargetSampleType DoPredict(const InputSampleType& input, ConfidenceValueType *quality=ITK_NULLPTR) const ITK_OVERRIDE;
    	virtual void DoPredictBatch(const InputListSampleType *, const unsigned int & startIndex, const unsigned int & size, TargetListSampleType *, ConfidenceListSampleType * = ITK_NULLPTR) const ITK_OVERRIDE;
      
    private:
    
    Cédric Traizet's avatar
    Cédric Traizet committed
    	shark::LinearModel<> m_encoder;
    	shark::LinearModel<> m_decoder;
    	shark::PCA m_pca;
    
    	unsigned int m_Dimension;
    
    };
    } // end namespace otb
    
    
    #ifndef OTB_MANUAL_INSTANTIATION
    #include "PCAModel.txx"
    #endif
    
    
    #endif