| addSample(uint32_t label, const GRT::MatrixDouble &sample) | TrainingDataManager | |
| deleteAllSamples() | TrainingDataManager | |
| deleteAllSamplesWithLabel(uint32_t label) | TrainingDataManager | |
| deleteSample(uint32_t label, uint32_t index) | TrainingDataManager | |
| getAllData() | TrainingDataManager | inline |
| getLabelName(uint32_t label) | TrainingDataManager | |
| getNumLabels() | TrainingDataManager | inline |
| getNumSampleForLabel(uint32_t label) | TrainingDataManager | |
| getSample(uint32_t label, uint32_t index) | TrainingDataManager | |
| getSampleClassLikelihoods(uint32_t label, uint32_t index) | TrainingDataManager | |
| getSampleName(uint32_t label, uint32_t index) | TrainingDataManager | |
| getSampleScore(uint32_t label, uint32_t index) | TrainingDataManager | |
| getTotalNumSamples() | TrainingDataManager | inline |
| hasSampleClassLikelihoods(uint32_t label, uint32_t index) | TrainingDataManager | |
| hasSampleScore(uint32_t label, uint32_t index) | TrainingDataManager | |
| load(const std::string &filename) | TrainingDataManager | |
| relabelSample(uint32_t label, uint32_t index, uint32_t new_label) | TrainingDataManager | |
| save(const std::string &filename) | TrainingDataManager | inline |
| setDatasetName(const std::string name) | TrainingDataManager | |
| setDatasetName(const char *const name) | TrainingDataManager | |
| setNameForLabel(const std::string name, uint32_t label) | TrainingDataManager | |
| setNumDimensions(uint32_t dim) | TrainingDataManager | |
| setSampleClassLikelihoods(uint32_t label, uint32_t index, vector< double > likelihoods) | TrainingDataManager | |
| setSampleName(uint32_t, uint32_t, const std::string) | TrainingDataManager | |
| setSampleScore(uint32_t label, uint32_t index, double score) | TrainingDataManager | |
| TrainingDataManager(uint32_t num_classes) | TrainingDataManager | |
| trimSample(uint32_t label, uint32_t index, uint32_t start, uint32_t end) | TrainingDataManager | |
1.8.11 
