LogisticRegression.h

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#ifndef GRT_LOGISTIC_REGRESSION_HEADER
#define GRT_LOGISTIC_REGRESSION_HEADER

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

GRT_BEGIN_NAMESPACE

class GRT_API LogisticRegression : public Regressifier
{
public:
    LogisticRegression(const bool useScaling=true,const Float learningRate=0.01,const Float minChange=1.0e-5,const UINT batchSize=1,const UINT maxNumEpochs=500,const UINT minNumEpochs=1);

    LogisticRegression(const LogisticRegression &rhs);
    
    virtual ~LogisticRegression(void);
    
    LogisticRegression &operator=(const LogisticRegression &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(UINT maxNumIterations);

    static std::string getId();
    
    //Tell the compiler we are using the base class train method to stop hidden virtual function warnings
    using MLBase::save;
    using MLBase::load;
    
protected:
    inline Float sigmoid(const Float x) const;
    bool loadLegacyModelFromFile( std::fstream &file );
    
    Float w0; 
    VectorFloat w; 

private:
    static RegisterRegressifierModule< LogisticRegression > registerModule;
    static const std::string id;
};

GRT_END_NAMESPACE

#endif //GRT_LOGISTIC_REGRESSION_HEADER