CvEM Class Reference
#include <ml.hpp>
List of all members.
Public Types |
enum | { COV_MAT_SPHERICAL = 0,
COV_MAT_DIAGONAL = 1,
COV_MAT_GENERIC = 2
} |
enum | { START_E_STEP = 1,
START_M_STEP = 2,
START_AUTO_STEP = 0
} |
Public Member Functions |
virtual CV_WRAP void | clear () |
CV_WRAP | CvEM (const cv::Mat &samples, const cv::Mat &sampleIdx=cv::Mat(), CvEMParams params=CvEMParams()) |
| CvEM (const CvMat *samples, const CvMat *sampleIdx=0, CvEMParams params=CvEMParams(), CvMat *labels=0) |
CV_WRAP | CvEM () |
const CvMat ** | get_covs () const |
double | get_log_likelihood () const |
const CvMat * | get_means () const |
int | get_nclusters () const |
const CvMat * | get_probs () const |
const CvMat * | get_weights () const |
CV_WRAP void | getCovs (CV_OUT std::vector< cv::Mat > &covs) const |
CV_WRAP double | getLikelihood () const |
CV_WRAP cv::Mat | getMeans () const |
CV_WRAP int | getNClusters () const |
CV_WRAP cv::Mat | getProbs () const |
CV_WRAP cv::Mat | getWeights () const |
virtual CV_WRAP float | predict (const cv::Mat &sample, CV_OUT cv::Mat *probs=0) const |
virtual float | predict (const CvMat *sample, CV_OUT CvMat *probs) const |
virtual CV_WRAP bool | train (const cv::Mat &samples, const cv::Mat &sampleIdx=cv::Mat(), CvEMParams params=CvEMParams(), CV_OUT cv::Mat *labels=0) |
virtual bool | train (const CvMat *samples, const CvMat *sampleIdx=0, CvEMParams params=CvEMParams(), CvMat *labels=0) |
virtual | ~CvEM () |
Protected Member Functions |
virtual void | init_auto (const CvVectors &samples) |
virtual void | init_em (const CvVectors &train_data) |
virtual void | kmeans (const CvVectors &train_data, int nclusters, CvMat *labels, CvTermCriteria criteria, const CvMat *means) |
virtual double | run_em (const CvVectors &train_data) |
virtual void | set_params (const CvEMParams ¶ms, const CvVectors &train_data) |
Protected Attributes |
CvMat ** | cov_rotate_mats |
CvMat ** | covs |
CvMat * | inv_eigen_values |
double | log_likelihood |
CvMat * | log_weight_div_det |
CvMat * | means |
CvEMParams | params |
CvMat * | probs |
CvMat * | weights |
Member Enumeration Documentation
- Enumerator:
COV_MAT_SPHERICAL |
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COV_MAT_DIAGONAL |
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COV_MAT_GENERIC |
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- Enumerator:
START_E_STEP |
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START_M_STEP |
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START_AUTO_STEP |
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Constructor & Destructor Documentation
virtual CvEM::~CvEM |
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[virtual] |
Member Function Documentation
virtual CV_WRAP void CvEM::clear |
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[virtual] |
const CvMat** CvEM::get_covs |
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const |
double CvEM::get_log_likelihood |
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const [inline] |
const CvMat* CvEM::get_means |
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const |
int CvEM::get_nclusters |
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const |
const CvMat* CvEM::get_probs |
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const |
const CvMat* CvEM::get_weights |
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const |
CV_WRAP void CvEM::getCovs |
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CV_OUT std::vector< cv::Mat > & |
covs |
) |
const |
CV_WRAP double CvEM::getLikelihood |
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const [inline] |
CV_WRAP cv::Mat CvEM::getMeans |
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const |
CV_WRAP int CvEM::getNClusters |
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const |
CV_WRAP cv::Mat CvEM::getProbs |
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const |
CV_WRAP cv::Mat CvEM::getWeights |
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const |
virtual void CvEM::init_auto |
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const CvVectors & |
samples |
) |
[protected, virtual] |
virtual void CvEM::init_em |
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const CvVectors & |
train_data |
) |
[protected, virtual] |
virtual CV_WRAP float CvEM::predict |
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const cv::Mat & |
sample, |
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CV_OUT cv::Mat * |
probs = 0 | |
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virtual float CvEM::predict |
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const CvMat * |
sample, |
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CV_OUT CvMat * |
probs | |
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virtual double CvEM::run_em |
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const CvVectors & |
train_data |
) |
[protected, virtual] |
virtual void CvEM::set_params |
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const CvEMParams & |
params, |
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const CvVectors & |
train_data | |
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Member Data Documentation
The documentation for this class was generated from the following file:
- /home/grier/opencv/opencv/modules/ml/include/opencv2/ml/ml.hpp