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OpenCV
3.1.0
Open Source Computer Vision
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OpenCV
3.1.0
Open Source Computer Vision
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This is the complete list of members for cv::ml::EM, including all inherited members.
| Algorithm() | cv::Algorithm | |
| calcError(const Ptr< TrainData > &data, bool test, OutputArray resp) const | cv::ml::StatModel | virtual |
| clear() | cv::Algorithm | inlinevirtual |
| COMPRESSED_INPUT enum value | cv::ml::StatModel | |
| COV_MAT_DEFAULT enum value | cv::ml::EM | |
| COV_MAT_DIAGONAL enum value | cv::ml::EM | |
| COV_MAT_GENERIC enum value | cv::ml::EM | |
| COV_MAT_SPHERICAL enum value | cv::ml::EM | |
| create() | cv::ml::EM | static |
| DEFAULT_MAX_ITERS enum value | cv::ml::EM | |
| DEFAULT_NCLUSTERS enum value | cv::ml::EM | |
| empty() const | cv::ml::StatModel | virtual |
| Flags enum name | cv::ml::StatModel | |
| getClustersNumber() const =0 | cv::ml::EM | pure virtual |
| getCovarianceMatrixType() const =0 | cv::ml::EM | pure virtual |
| getCovs(std::vector< Mat > &covs) const =0 | cv::ml::EM | pure virtual |
| getDefaultName() const | cv::Algorithm | virtual |
| getMeans() const =0 | cv::ml::EM | pure virtual |
| getTermCriteria() const =0 | cv::ml::EM | pure virtual |
| getVarCount() const =0 | cv::ml::StatModel | pure virtual |
| getWeights() const =0 | cv::ml::EM | pure virtual |
| isClassifier() const =0 | cv::ml::StatModel | pure virtual |
| isTrained() const =0 | cv::ml::StatModel | pure virtual |
| load(const String &filename, const String &objname=String()) | cv::Algorithm | inlinestatic |
| loadFromString(const String &strModel, const String &objname=String()) | cv::Algorithm | inlinestatic |
| predict(InputArray samples, OutputArray results=noArray(), int flags=0) const =0 | cv::ml::StatModel | pure virtual |
| predict2(InputArray sample, OutputArray probs) const =0 | cv::ml::EM | pure virtual |
| PREPROCESSED_INPUT enum value | cv::ml::StatModel | |
| RAW_OUTPUT enum value | cv::ml::StatModel | |
| read(const FileNode &fn) | cv::Algorithm | inlinevirtual |
| read(const FileNode &fn) | cv::Algorithm | inlinestatic |
| save(const String &filename) const | cv::Algorithm | virtual |
| setClustersNumber(int val)=0 | cv::ml::EM | pure virtual |
| setCovarianceMatrixType(int val)=0 | cv::ml::EM | pure virtual |
| setTermCriteria(const TermCriteria &val)=0 | cv::ml::EM | pure virtual |
| START_AUTO_STEP enum value | cv::ml::EM | |
| START_E_STEP enum value | cv::ml::EM | |
| START_M_STEP enum value | cv::ml::EM | |
| train(const Ptr< TrainData > &trainData, int flags=0) | cv::ml::StatModel | virtual |
| train(InputArray samples, int layout, InputArray responses) | cv::ml::StatModel | virtual |
| train(const Ptr< TrainData > &data, int flags=0) | cv::ml::StatModel | inlinestatic |
| trainE(InputArray samples, InputArray means0, InputArray covs0=noArray(), InputArray weights0=noArray(), OutputArray logLikelihoods=noArray(), OutputArray labels=noArray(), OutputArray probs=noArray())=0 | cv::ml::EM | pure virtual |
| trainEM(InputArray samples, OutputArray logLikelihoods=noArray(), OutputArray labels=noArray(), OutputArray probs=noArray())=0 | cv::ml::EM | pure virtual |
| trainM(InputArray samples, InputArray probs0, OutputArray logLikelihoods=noArray(), OutputArray labels=noArray(), OutputArray probs=noArray())=0 | cv::ml::EM | pure virtual |
| Types enum name | cv::ml::EM | |
| UPDATE_MODEL enum value | cv::ml::StatModel | |
| write(FileStorage &fs) const | cv::Algorithm | inlinevirtual |
| ~Algorithm() | cv::Algorithm | virtual |
1.8.9.1
