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#ifndef _TNET_OBJ_FUN_H
#define _TNET_OBJ_FUN_H
#include <cassert>
#include <limits>
#include <cmath>
#include "Matrix.h"
#include "Vector.h"
namespace TNet {
/**
* General interface for objective functions
*/
class ObjectiveFunction
{
public:
/// Enum with objective function types
typedef enum {
OBJ_FUN_I = 0x0300,
MEAN_SQUARE_ERROR,
CROSS_ENTROPY,
} ObjFunType;
public:
/// Factory for creating objective function instances
static ObjectiveFunction* Factory(ObjFunType type);
//////////////////////////////////////////////////////////////
// Interface specification
protected:
ObjectiveFunction() { }; /// constructor
public:
virtual ~ObjectiveFunction() { }; /// destructor
virtual ObjFunType GetType() = 0;
virtual const char* GetName() = 0;
virtual ObjectiveFunction* Clone() = 0;
///calculate error of network output
virtual void Evaluate(const Matrix<BaseFloat>& net_out, const Matrix<BaseFloat>& target, Matrix<BaseFloat>* err) = 0;
///get the accumulated error
virtual double GetError() = 0;
///the number of processed frames
virtual size_t GetFrames() = 0;
///report the error to string
virtual std::string Report() = 0;
///sum the frame counts from more instances
virtual void MergeStats(const ObjectiveFunction& inst) = 0;
};
/**
* Mean square error function
*/
class MeanSquareError : public ObjectiveFunction
{
public:
MeanSquareError()
: ObjectiveFunction(), frames_(0), error_(0)
{ }
~MeanSquareError()
{ }
ObjFunType GetType()
{ return MEAN_SQUARE_ERROR; }
const char* GetName()
{ return "<MeanSquareError>"; }
ObjectiveFunction* Clone()
{ return new MeanSquareError(*this); }
void Evaluate(const Matrix<BaseFloat>& net_out, const Matrix<BaseFloat>& target, Matrix<BaseFloat>* err);
size_t GetFrames()
{ return frames_; }
double GetError()
{ return error_; }
std::string Report();
void MergeStats(const ObjectiveFunction& inst) {
const MeanSquareError& mse = dynamic_cast<const MeanSquareError&>(inst);
frames_ += mse.frames_; error_ += mse.error_;
}
private:
size_t frames_;
double error_;
};
/**
* Cross entropy error function
*/
class CrossEntropy : public ObjectiveFunction
{
public:
enum ConfusionMode { NO_CONF=0, MAX_CONF, SOFT_CONF, DIAG_MAX_CONF, DIAG_SOFT_CONF };
public:
CrossEntropy()
: ObjectiveFunction(), frames_(0), error_(0), corr_(0), confusion_mode_(NO_CONF), output_label_map_(NULL)
{ }
~CrossEntropy()
{ }
ObjFunType GetType()
{ return CROSS_ENTROPY; }
const char* GetName()
{ return "<cross_entropy>"; }
ObjectiveFunction* Clone()
{ return new CrossEntropy(*this); }
void Evaluate(const Matrix<BaseFloat>& net_out, const Matrix<BaseFloat>& target, Matrix<BaseFloat>* err);
size_t GetFrames()
{ return frames_; }
double GetError()
{ return error_; }
void SetConfusionMode(enum ConfusionMode m)
{ confusion_mode_ = m; }
void SetOutputLabelMap(const char* map)
{ output_label_map_ = map; }
std::string Report();
void MergeStats(const ObjectiveFunction& inst);
private:
size_t frames_;
double error_;
size_t corr_;
ConfusionMode confusion_mode_;
Matrix<float> confusion_;
Vector<int> confusion_count_;
Vector<double> diag_confusion_;
const char* output_label_map_;
};
} //namespace TNet
#endif
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