CvERTrees Class Reference

#include <ml.hpp>

Inheritance diagram for CvERTrees:

Public Member Functions
	CvERTrees ()
virtual	~CvERTrees ()
virtual bool	train (const CvMat *trainData, int tflag, const CvMat *responses, const CvMat *varIdx=0, const CvMat *sampleIdx=0, const CvMat *varType=0, const CvMat *missingDataMask=0, CvRTParams params=CvRTParams())
virtual bool	train (const cv::Mat &trainData, int tflag, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), const cv::Mat &varType=cv::Mat(), const cv::Mat &missingDataMask=cv::Mat(), CvRTParams params=CvRTParams())
virtual bool	train (CvMLData *data, CvRTParams params=CvRTParams())
Public Member Functions inherited from CvRTrees
	CvRTrees ()
virtual	~CvRTrees ()
virtual float	predict (const CvMat *sample, const CvMat *missing=0) const
virtual float	predict_prob (const CvMat *sample, const CvMat *missing=0) const
virtual float	predict (const cv::Mat &sample, const cv::Mat &missing=cv::Mat()) const
virtual float	predict_prob (const cv::Mat &sample, const cv::Mat &missing=cv::Mat()) const
virtual cv::Mat	getVarImportance ()
virtual void	clear ()
virtual const CvMat *	get_var_importance ()
virtual float	get_proximity (const CvMat *sample1, const CvMat *sample2, const CvMat *missing1=0, const CvMat *missing2=0) const
virtual float	calc_error (CvMLData *data, int type, std::vector< float > *resp=0)
virtual float	get_train_error ()
virtual void	read (CvFileStorage *fs, CvFileNode *node)
virtual void	write (CvFileStorage *fs, const char *name) const
CvMat *	get_active_var_mask ()
CvRNG *	get_rng ()
int	get_tree_count () const
CvForestTree *	get_tree (int i) const
Public Member Functions inherited from CvStatModel
	CvStatModel ()
virtual	~CvStatModel ()
virtual void	save (const char *filename, const char *name=0) const
virtual void	load (const char *filename, const char *name=0)

Protected Member Functions
virtual std::string	getName () const
virtual bool	grow_forest (const CvTermCriteria term_crit)

Additional Inherited Members
Protected Attributes inherited from CvRTrees
CvForestTree **	trees
CvDTreeTrainData *	data
int	ntrees
int	nclasses
double	oob_error
CvMat *	var_importance
int	nsamples
cv::RNG *	rng
CvMat *	active_var_mask
Protected Attributes inherited from CvStatModel
const char *	default_model_name

Constructor & Destructor Documentation

CvERTrees()

CvERTrees::CvERTrees

(

)

~CvERTrees()

virtual CvERTrees::~CvERTrees ( )

virtual

Member Function Documentation

getName()

virtual std::string CvERTrees::getName ( ) const

protectedvirtual

Reimplemented from CvRTrees.

grow_forest()

virtual bool CvERTrees::grow_forest ( const CvTermCriteria  term_crit )

protectedvirtual

Reimplemented from CvRTrees.

train() [1/3]

virtual bool CvERTrees::train ( const CvMat *  trainData, int  tflag, const CvMat *  responses, const CvMat *  varIdx = 0, const CvMat *  sampleIdx = 0, const CvMat *  varType = 0, const CvMat *  missingDataMask = 0, CvRTParams  params = CvRTParams()  )

virtual

Reimplemented from CvRTrees.

train() [2/3]

virtual bool CvERTrees::train ( const cv::Mat &  trainData, int  tflag, const cv::Mat &  responses, const cv::Mat &  varIdx = cv::Mat(), const cv::Mat &  sampleIdx = cv::Mat(), const cv::Mat &  varType = cv::Mat(), const cv::Mat &  missingDataMask = cv::Mat(), CvRTParams  params = CvRTParams()  )

virtual

Reimplemented from CvRTrees.

train() [3/3]

virtual bool CvERTrees::train ( CvMLData *  data, CvRTParams  params = CvRTParams()  )

virtual

Reimplemented from CvRTrees.

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

• ml/ml.hpp