|| || || || || || || ||

---

Impala::Core::Training::Fisher Class Reference

Fisher is a well known Classifier, see internet for details. More...

#include <Fisher.h>

Inheritance diagram for Impala::Core::Training::Fisher:

[legend]Collaboration diagram for Impala::Core::Training::Fisher:

[legend]List of all members.

Public Member Functions
	Fisher ()
	~Fisher ()
virtual void	SetTrainSet (Feature::FeatureTable *data, Table::AnnotationTable *annotation, Table::QuidTable *mask)
virtual void	SetTestSet (Feature::FeatureTable *data, Table::AnnotationTable *annotation, Table::QuidTable *mask)
void	SetTestSet (const Vector::VectorSet< Array::Array2dScalarReal64 > *set)
void	Train (Util::PropertySet *properties)
void	ApplyMapping (Array::Array2dScalarReal64 *feats)
void	CNormC ()
Matrix::Mat *	SigmoidMap (Matrix::Mat *Map, Impala::Real64 scale=1)
virtual double	Predict (const Vector::VectorTem< double > *feature)
virtual RankingTableType *	Rank ()
virtual void	Predict (Table::SimilarityTableSet::SimTableType *result)
void	LoadModel (const std::string &name, Util::Database *db)
void	SaveModel (const std::string &name, Util::Database *db)
Private Attributes
Array::Array2dScalarReal64 *	mTrainFeatures
Array::Array2dScalarReal64 *	mTrainLabels
Array::Array2dScalarReal64 *	mTestFeatures
Array::Array2dScalarReal64 *	mTestLabels
Matrix::Mat *	mRotation
Matrix::Mat *	mOffset
Matrix::Mat *	mMapped
Matrix::Mat *	mProbabilities
int	mSampleLength
int	mFeatureLength
	ILOG_VAR_DEC
int	mCount

---

Detailed Description

Fisher is a well known Classifier, see internet for details.

Definition at line 43 of file Fisher.h.

---

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

• Core/Training/Fisher.h

---