| addFeatureVec(const Mat &featureVector, byte gt) | DirectGraphicalModels::CTrainNodeBayes | virtual |
| addFeatureVecs(const Mat &featureVectors, const Mat >) | DirectGraphicalModels::CTrainNode | |
| addFeatureVecs(const vec_mat_t &featureVectors, const Mat >) | DirectGraphicalModels::CTrainNode | |
| addNodeGroundTruth(const Mat >) | DirectGraphicalModels::CPriorNode | private |
| addNodeGroundTruth(byte gt) | DirectGraphicalModels::CPriorNode | private |
| calculateNodePotentials(const Mat &featureVector, Mat &potential, Mat &mask) const | DirectGraphicalModels::CTrainNodeBayes | protectedvirtual |
| calculatePrior(void) const | DirectGraphicalModels::CPriorNode | privatevirtual |
| CBaseRandomModel(byte nStates) | DirectGraphicalModels::CBaseRandomModel | inline |
| CPrior(byte nStates, RandomModelType type) | DirectGraphicalModels::CPrior | private |
| CPriorNode(byte nStates) | DirectGraphicalModels::CPriorNode | inlineprivate |
| create(byte nodeRandomModel, byte nStates, word nFeatures) | DirectGraphicalModels::CTrainNode | static |
| CTrainNode(byte nStates, word nFeatures) | DirectGraphicalModels::CTrainNode | inline |
| CTrainNodeBayes(byte nStates, word nFeatures) | DirectGraphicalModels::CTrainNodeBayes | |
| generateFileName(const std::string &path, const std::string &name, short idx) const | DirectGraphicalModels::CBaseRandomModel | protected |
| getNodePotentials(const Mat &featureVectors, const Mat &weights=Mat(), float Z=0.0f) const | DirectGraphicalModels::CTrainNode | |
| getNodePotentials(const vec_mat_t &featureVectors, const Mat &weights=Mat(), float Z=0.0f) const | DirectGraphicalModels::CTrainNode | |
| getNodePotentials(const Mat &featureVector, float weight, float Z=0.0f) const | DirectGraphicalModels::CTrainNode | |
| getNumFeatures(void) const | DirectGraphicalModels::ITrain | inline |
| getNumStates(void) const | DirectGraphicalModels::CBaseRandomModel | inline |
| getPDF(byte state, word feature) const | DirectGraphicalModels::CTrainNodeBayes | inline |
| getPDF2D(byte state) const | DirectGraphicalModels::CTrainNodeBayes | inline |
| getPrior(float weight=1.0f) const | DirectGraphicalModels::CPrior | private |
| ITrain(byte nStates, word nFeatures) | DirectGraphicalModels::ITrain | inline |
| load(const std::string &path, const std::string &name=std::string(), short idx=-1) | DirectGraphicalModels::CBaseRandomModel | virtual |
| loadFile(FILE *pFile) | DirectGraphicalModels::CTrainNodeBayes | protectedvirtual |
| m_histogramPrior | DirectGraphicalModels::CPrior | private |
| m_nStates | DirectGraphicalModels::CBaseRandomModel | protected |
| m_pPDF | DirectGraphicalModels::CTrainNodeBayes | private |
| m_pPDF2D | DirectGraphicalModels::CTrainNodeBayes | private |
| m_prior | DirectGraphicalModels::CTrainNodeBayes | private |
| reset(void) | DirectGraphicalModels::CTrainNodeBayes | virtual |
| save(const std::string &path, const std::string &name=std::string(), short idx=-1) const | DirectGraphicalModels::CBaseRandomModel | virtual |
| saveFile(FILE *pFile) const | DirectGraphicalModels::CTrainNodeBayes | protectedvirtual |
| smooth(int nIt=1) | DirectGraphicalModels::CTrainNodeBayes | |
| train(bool doClean=false) | DirectGraphicalModels::CTrainNodeBayes | virtual |
| ~CBaseRandomModel(void) | DirectGraphicalModels::CBaseRandomModel | inlinevirtual |
| ~CPrior(void) | DirectGraphicalModels::CPrior | private |
| ~CPriorNode(void) | DirectGraphicalModels::CPriorNode | inlineprivate |
| ~CTrainNode(void)=default | DirectGraphicalModels::CTrainNode | virtual |
| ~CTrainNodeBayes(void) | DirectGraphicalModels::CTrainNodeBayes | virtual |
| ~ITrain(void)=default | DirectGraphicalModels::ITrain | virtual |
1.8.14