Class that stores the results of a hyperopt run. More...

#include <hyperopt.h>

Public Member Functions
	Result (const ConfusionMatrix &confusionMatrix, double pixelAccuracy, double pixelAccuracyWithoutVoid, const LossFunctionType lossFunctionType)
	create an instance of prediction result, including the confusion matrix and the different losses
mongo::BSONObj	toBSON () const
const ConfusionMatrix &	getConfusionMatrix () const
void	setLossFunctionType (const LossFunctionType &lossFunctionType)
	set the loss type, can be pixel or class accuracy, with or without void
double	getLoss () const
double	getClassAccuracy () const
double	getClassAccuracyWithoutVoid () const
double	getPixelAccuracy () const
double	getPixelAccuracyWithoutVoid () const
void	setRandomSeed (int randomSeed)
	save the random seed thatt was used in training
int	getRandomSeed () const

Detailed Description

Class that stores the results of a hyperopt run.

Definition at line 29 of file hyperopt.h.

Member Function Documentation

double curfil::Result::getClassAccuracy ( ) const

inline

Definition at line 78 of file hyperopt.h.

double curfil::Result::getClassAccuracyWithoutVoid ( ) const

inline

Definition at line 85 of file hyperopt.h.

const ConfusionMatrix& curfil::Result::getConfusionMatrix ( ) const

inline

Definition at line 59 of file hyperopt.h.

double curfil::Result::getLoss ( ) const

Returns: loss value (1 - accuracy), the value depends on the loss function type

double curfil::Result::getPixelAccuracy ( ) const

inline

Definition at line 92 of file hyperopt.h.

double curfil::Result::getPixelAccuracyWithoutVoid ( ) const

inline

Definition at line 99 of file hyperopt.h.

int curfil::Result::getRandomSeed ( ) const

inline

Definition at line 113 of file hyperopt.h.

mongo::BSONObj curfil::Result::toBSON ( ) const

The documentation for this class was generated from the following file: