| __str__() const | xmm::Writable | inline |
| addCyclicTransition(double proba) | xmm::SingleClassHMM | protected |
| addExitPoint(int stateIndex, float proba) | xmm::SingleClassHMM | |
| allocate() | xmm::SingleClassHMM | protectedvirtual |
| alpha | xmm::SingleClassHMM | |
| alpha_h | xmm::SingleClassHMM | |
| alpha_seq_ | xmm::SingleClassHMM | protected |
| backward_init(double ct) | xmm::SingleClassHMM | protected |
| backward_update(double ct, const float *observation, const float *observation_output=NULL) | xmm::SingleClassHMM | protected |
| baumWelch_backward_update(double ct, std::vector< double >::iterator observation_likelihoods) | xmm::SingleClassHMM | protected |
| baumWelch_estimateCovariances(TrainingSet *trainingSet) | xmm::SingleClassHMM | protected |
| baumWelch_estimateMeans(TrainingSet *trainingSet) | xmm::SingleClassHMM | protected |
| baumWelch_estimateMixtureCoefficients(TrainingSet *trainingSet) | xmm::SingleClassHMM | protected |
| baumWelch_estimatePrior(TrainingSet *trainingSet) | xmm::SingleClassHMM | protected |
| baumWelch_estimateTransitions(TrainingSet *trainingSet) | xmm::SingleClassHMM | protected |
| baumWelch_forward_update(std::vector< double >::iterator observation_likelihoods) | xmm::SingleClassHMM | protected |
| baumWelch_forwardBackward(std::shared_ptr< Phrase > currentPhrase, int phraseIndex) | xmm::SingleClassHMM | protected |
| baumWelch_gammaSum(TrainingSet *trainingSet) | xmm::SingleClassHMM | protected |
| beta_ | xmm::SingleClassHMM | protected |
| beta_seq_ | xmm::SingleClassHMM | protected |
| cancel_training_ | xmm::SingleClassProbabilisticModel | protected |
| cancelTraining() | xmm::SingleClassProbabilisticModel | |
| cancelTrainingIfRequested() | xmm::SingleClassProbabilisticModel | protected |
| check_training() const | xmm::SingleClassProbabilisticModel | inlineprotected |
| DEFAULT_EXITPROBABILITY_LAST_STATE() | xmm::SingleClassHMM | inlinestatic |
| emAlgorithmHasConverged(int step, double log_prob, double old_log_prob) const | xmm::SingleClassProbabilisticModel | protected |
| emAlgorithmInit(TrainingSet *trainingSet) | xmm::SingleClassHMM | protectedvirtual |
| emAlgorithmTerminate() | xmm::SingleClassHMM | protectedvirtual |
| emAlgorithmUpdate(TrainingSet *trainingSet) | xmm::SingleClassHMM | protectedvirtual |
| epsilon_sequence_ | xmm::SingleClassHMM | protected |
| exit_probabilities_ | xmm::SingleClassHMM | protected |
| filter(std::vector< float > const &observation) | xmm::SingleClassHMM | virtual |
| forward_init(const float *observation, const float *observation_output=NULL) | xmm::SingleClassHMM | protected |
| forward_initialized_ | xmm::SingleClassHMM | protected |
| forward_update(const float *observation, const float *observation_output=NULL) | xmm::SingleClassHMM | protected |
| fromJson(Json::Value const &root) | xmm::SingleClassHMM | virtual |
| gamma_sequence_ | xmm::SingleClassHMM | protected |
| gamma_sequence_per_mixture_ | xmm::SingleClassHMM | protected |
| gamma_sum_ | xmm::SingleClassHMM | protected |
| gamma_sum_per_mixture_ | xmm::SingleClassHMM | protected |
| HierarchicalHMM class | xmm::SingleClassHMM | friend |
| initCovariances_fullyObserved(TrainingSet *trainingSet) | xmm::SingleClassHMM | protected |
| initMeansCovariancesWithGMMEM(TrainingSet *trainingSet) | xmm::SingleClassHMM | protected |
| initMeansWithAllPhrases(TrainingSet *trainingSet) | xmm::SingleClassHMM | protected |
| initParametersToDefault(std::vector< float > const &dataStddev) | xmm::SingleClassHMM | protected |
| is_hierarchical_ | xmm::SingleClassHMM | protected |
| is_training_ | xmm::SingleClassProbabilisticModel | protected |
| isTraining() const | xmm::SingleClassProbabilisticModel | |
| label | xmm::SingleClassProbabilisticModel | |
| likelihood_buffer_ | xmm::SingleClassProbabilisticModel | protected |
| Model class | xmm::SingleClassHMM | friend |
| normalizeTransitions() | xmm::SingleClassHMM | protected |
| operator=(SingleClassHMM const &src) | xmm::SingleClassHMM | |
| xmm::SingleClassProbabilisticModel::operator=(SingleClassProbabilisticModel const &src) | xmm::SingleClassProbabilisticModel | |
| parameters | xmm::SingleClassHMM | |
| previous_alpha_ | xmm::SingleClassHMM | protected |
| previous_beta_ | xmm::SingleClassHMM | protected |
| prior | xmm::SingleClassHMM | |
| readFile(char *fileName) | xmm::Writable | inline |
| regression(std::vector< float > const &observation_input) | xmm::SingleClassHMM | protected |
| reset() | xmm::SingleClassHMM | virtual |
| results | xmm::SingleClassHMM | |
| setErgodic() | xmm::SingleClassHMM | protected |
| setLeftRight() | xmm::SingleClassHMM | protected |
| shared_parameters | xmm::SingleClassProbabilisticModel | |
| SingleClassHMM(std::shared_ptr< SharedParameters > p=NULL) | xmm::SingleClassHMM | |
| SingleClassHMM(SingleClassHMM const &src) | xmm::SingleClassHMM | |
| SingleClassHMM(std::shared_ptr< SharedParameters > p, Json::Value const &root) | xmm::SingleClassHMM | explicit |
| SingleClassProbabilisticModel(std::shared_ptr< SharedParameters > p=NULL) | xmm::SingleClassProbabilisticModel | |
| SingleClassProbabilisticModel(SingleClassProbabilisticModel const &src) | xmm::SingleClassProbabilisticModel | |
| SingleClassProbabilisticModel(std::shared_ptr< SharedParameters > p, Json::Value const &root) | xmm::SingleClassProbabilisticModel | explicit |
| states | xmm::SingleClassHMM | |
| toJson() const | xmm::SingleClassHMM | virtual |
| train(TrainingSet *trainingSet) | xmm::SingleClassProbabilisticModel | |
| training_events | xmm::SingleClassProbabilisticModel | |
| training_mutex_ | xmm::SingleClassProbabilisticModel | protected |
| training_status | xmm::SingleClassProbabilisticModel | |
| transition | xmm::SingleClassHMM | |
| TRANSITION_REGULARIZATION() | xmm::SingleClassHMM | inlinestatic |
| updateAlphaWindow() | xmm::SingleClassHMM | protected |
| updateExitProbabilities(float *_exitProbabilities=NULL) | xmm::SingleClassHMM | protected |
| updateResults() | xmm::SingleClassHMM | protected |
| window_maxindex_ | xmm::SingleClassHMM | protected |
| window_minindex_ | xmm::SingleClassHMM | protected |
| window_normalization_constant_ | xmm::SingleClassHMM | protected |
| writeFile(char *fileName) const | xmm::Writable | inline |
| ~SingleClassProbabilisticModel() | xmm::SingleClassProbabilisticModel | virtual |
| ~Writable() | xmm::Writable | inlinevirtual |
