#include <ml.hpp>
|
virtual float | calc_error (CvMLData *_data, int type, std::vector< float > *resp=0) |
|
virtual CV_WRAP void | clear () |
|
CV_WRAP | CvRTrees () |
|
CvMat * | get_active_var_mask () |
|
virtual float | get_proximity (const CvMat *sample1, const CvMat *sample2, const CvMat *missing1=0, const CvMat *missing2=0) const |
|
CvRNG * | get_rng () |
|
virtual float | get_train_error () |
|
CvForestTree * | get_tree (int i) const |
|
int | get_tree_count () const |
|
virtual const CvMat * | get_var_importance () |
|
virtual CV_WRAP cv::Mat | getVarImportance () |
|
virtual float | predict (const CvMat *sample, const CvMat *missing=0) const |
|
virtual CV_WRAP float | predict (const cv::Mat &sample, const cv::Mat &missing=cv::Mat()) const |
|
virtual float | predict_prob (const CvMat *sample, const CvMat *missing=0) const |
|
virtual CV_WRAP float | predict_prob (const cv::Mat &sample, const cv::Mat &missing=cv::Mat()) const |
|
virtual void | read (CvFileStorage *fs, CvFileNode *node) |
|
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 (CvMLData *data, CvRTParams params=CvRTParams()) |
|
virtual CV_WRAP 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 void | write (CvFileStorage *fs, const char *name) const |
|
virtual | ~CvRTrees () |
|
| CvStatModel () |
|
virtual CV_WRAP void | load (const char *filename, const char *name=0) |
|
virtual CV_WRAP void | save (const char *filename, const char *name=0) const |
|
virtual | ~CvStatModel () |
|
virtual CvRTrees::~CvRTrees |
( |
| ) |
|
|
virtual |
virtual float CvRTrees::calc_error |
( |
CvMLData * |
_data, |
|
|
int |
type, |
|
|
std::vector< float > * |
resp = 0 |
|
) |
| |
|
virtual |
CvMat* CvRTrees::get_active_var_mask |
( |
| ) |
|
virtual float CvRTrees::get_proximity |
( |
const CvMat * |
sample1, |
|
|
const CvMat * |
sample2, |
|
|
const CvMat * |
missing1 = 0 , |
|
|
const CvMat * |
missing2 = 0 |
|
) |
| const |
|
virtual |
CvRNG* CvRTrees::get_rng |
( |
| ) |
|
virtual float CvRTrees::get_train_error |
( |
| ) |
|
|
virtual |
int CvRTrees::get_tree_count |
( |
| ) |
const |
virtual const CvMat* CvRTrees::get_var_importance |
( |
| ) |
|
|
virtual |
virtual float CvRTrees::predict |
( |
const CvMat * |
sample, |
|
|
const CvMat * |
missing = 0 |
|
) |
| const |
|
virtual |
virtual float CvRTrees::predict_prob |
( |
const CvMat * |
sample, |
|
|
const CvMat * |
missing = 0 |
|
) |
| const |
|
virtual |
CvMat* CvRTrees::active_var_mask |
|
protected |
double CvRTrees::oob_error |
|
protected |
CvMat* CvRTrees::var_importance |
|
protected |
The documentation for this class was generated from the following file:
- /usr/obj/OpenCV-2.2.0/OpenCV-2.2.0/modules/ml/include/opencv2/ml/ml.hpp