LinearRegression.h

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#ifndef GRT_LINEAR_REGRESSION_HEADER
#define GRT_LINEAR_REGRESSION_HEADER

#include "../../CoreModules/Regressifier.h"

GRT_BEGIN_NAMESPACE

class GRT_API LinearRegression : public Regressifier
{
 public:
 LinearRegression(bool useScaling=false);
 
 virtual ~LinearRegression(void);
 
 LinearRegression &operator=(const LinearRegression &rhs);
 
 virtual bool deepCopyFrom(const Regressifier *regressifier);
 
 virtual bool train_(RegressionData &trainingData);
 
 virtual bool predict_(VectorFloat &inputVector);
 
 virtual bool save( std::fstream &file ) const;
 
 virtual bool load( std::fstream &file );
 
 UINT getMaxNumIterations() const;
 
 bool setMaxNumIterations(const UINT maxNumIterations);
 
 //Tell the compiler we are using the base class train method to stop hidden virtual function warnings
 using MLBase::save;
 using MLBase::load;
 
 protected:
 bool loadLegacyModelFromFile( std::fstream &file );
 
 Float w0;
 VectorFloat w;
 static RegisterRegressifierModule< LinearRegression > registerModule;
};

GRT_END_NAMESPACE

#endif //GRT_LINEAR_REGRESSION_HEADER