OpenCV  2.4.13
Open Source Computer Vision
CvERTrees Class Reference

#include <ml.hpp>

Inheritance diagram for CvERTrees:
CvRTrees CvStatModel

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 CvMatget_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
 
CvMatget_active_var_mask ()
 
CvRNGget_rng ()
 
int get_tree_count () const
 
CvForestTreeget_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
 
CvDTreeTrainDatadata
 
int ntrees
 
int nclasses
 
double oob_error
 
CvMatvar_importance
 
int nsamples
 
cv::RNGrng
 
CvMatactive_var_mask
 
- Protected Attributes inherited from CvStatModel
const char * default_model_name
 

Constructor & Destructor Documentation

CvERTrees::CvERTrees ( )
virtual CvERTrees::~CvERTrees ( )
virtual

Member Function Documentation

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

Reimplemented from CvRTrees.

virtual bool CvERTrees::grow_forest ( const CvTermCriteria  term_crit)
protectedvirtual

Reimplemented from CvRTrees.

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.

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.

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

Reimplemented from CvRTrees.


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