HMMRegression Member List
This is the complete list of members for HMMRegression, including all inherited members.
| HMM< distribution::RegressionDistribution >::Backward(const arma::mat &dataSeq, const arma::vec &logScales, arma::mat &backwardLogProb, arma::mat &logProbs) const | HMM< distribution::RegressionDistribution > | protected |
| Dimensionality() const | HMM< distribution::RegressionDistribution > | inline |
| Dimensionality() | HMM< distribution::RegressionDistribution > | inline |
| emission | HMM< distribution::RegressionDistribution > | protected |
| Emission() const | HMM< distribution::RegressionDistribution > | inline |
| Emission() | HMM< distribution::RegressionDistribution > | inline |
| EmissionLogLikelihood(const arma::vec &emissionLogProb, double &logLikelihood, arma::vec &forwardLogProb) const | HMM< distribution::RegressionDistribution > | |
| EmissionLogScaleFactor(const arma::vec &emissionLogProb, arma::vec &forwardLogProb) const | HMM< distribution::RegressionDistribution > | |
| Estimate(const arma::mat &predictors, const arma::vec &responses, arma::mat &stateProb, arma::mat &forwardProb, arma::mat &backwardProb, arma::vec &scales) const | HMMRegression | |
| Estimate(const arma::mat &predictors, const arma::vec &responses, arma::mat &stateProb) const | HMMRegression | |
| HMM< distribution::RegressionDistribution >::Estimate(const arma::mat &dataSeq, arma::mat &stateProb, arma::mat &forwardProb, arma::mat &backwardProb, arma::vec &scales) const | HMM< distribution::RegressionDistribution > | |
| HMM< distribution::RegressionDistribution >::Estimate(const arma::mat &dataSeq, arma::mat &stateProb) const | HMM< distribution::RegressionDistribution > | |
| Filter(const arma::mat &predictors, const arma::vec &responses, arma::vec &filterSeq, size_t ahead=0) const | HMMRegression | |
| HMM< distribution::RegressionDistribution >::Filter(const arma::mat &dataSeq, arma::mat &filterSeq, size_t ahead=0) const | HMM< distribution::RegressionDistribution > | |
| HMM< distribution::RegressionDistribution >::Forward(const arma::mat &dataSeq, arma::vec &logScales, arma::mat &forwardLogProb, arma::mat &logProbs) const | HMM< distribution::RegressionDistribution > | protected |
| ForwardAtT0(const arma::vec &emissionLogProb, double &logScales) const | HMM< distribution::RegressionDistribution > | protected |
| ForwardAtTn(const arma::vec &emissionLogProb, double &logScales, const arma::vec &prevForwardLogProb) const | HMM< distribution::RegressionDistribution > | protected |
| Generate(const size_t length, arma::mat &dataSequence, arma::Row< size_t > &stateSequence, const size_t startState=0) const | HMM< distribution::RegressionDistribution > | |
| HMM(const size_t states=0, const distribution::RegressionDistribution emissions=distribution::RegressionDistribution(), const double tolerance=1e-5) | HMM< distribution::RegressionDistribution > | |
| HMM(const arma::vec &initial, const arma::mat &transition, const std::vector< distribution::RegressionDistribution > &emission, const double tolerance=1e-5) | HMM< distribution::RegressionDistribution > | |
| HMMRegression(const size_t states, const distribution::RegressionDistribution emissions, const double tolerance=1e-5) | HMMRegression | inline |
| HMMRegression(const arma::vec &initial, const arma::mat &transition, const std::vector< distribution::RegressionDistribution > &emission, const double tolerance=1e-5) | HMMRegression | inline |
| Initial() const | HMM< distribution::RegressionDistribution > | inline |
| Initial() | HMM< distribution::RegressionDistribution > | inline |
| load(Archive &ar, const uint32_t version) | HMM< distribution::RegressionDistribution > | |
| LogEstimate(const arma::mat &dataSeq, arma::mat &stateLogProb, arma::mat &forwardLogProb, arma::mat &backwardLogProb, arma::vec &logScales) const | HMM< distribution::RegressionDistribution > | |
| LogLikelihood(const arma::mat &predictors, const arma::vec &responses) const | HMMRegression | |
| HMM< distribution::RegressionDistribution >::LogLikelihood(const arma::mat &dataSeq) const | HMM< distribution::RegressionDistribution > | |
| HMM< distribution::RegressionDistribution >::LogLikelihood(const arma::vec &data, double &logLikelihood, arma::vec &forwardLogProb) const | HMM< distribution::RegressionDistribution > | |
| LogScaleFactor(const arma::vec &data, arma::vec &forwardLogProb) const | HMM< distribution::RegressionDistribution > | |
| logTransition | HMM< distribution::RegressionDistribution > | mutableprotected |
| Predict(const arma::mat &predictors, const arma::vec &responses, arma::Row< size_t > &stateSeq) const | HMMRegression | |
| HMM< distribution::RegressionDistribution >::Predict(const arma::mat &dataSeq, arma::Row< size_t > &stateSeq) const | HMM< distribution::RegressionDistribution > | |
| save(Archive &ar, const uint32_t version) const | HMM< distribution::RegressionDistribution > | |
| Smooth(const arma::mat &predictors, const arma::vec &responses, arma::vec &smoothSeq) const | HMMRegression | |
| HMM< distribution::RegressionDistribution >::Smooth(const arma::mat &dataSeq, arma::mat &smoothSeq) const | HMM< distribution::RegressionDistribution > | |
| Tolerance() const | HMM< distribution::RegressionDistribution > | inline |
| Tolerance() | HMM< distribution::RegressionDistribution > | inline |
| Train(const std::vector< arma::mat > &predictors, const std::vector< arma::vec > &responses) | HMMRegression | |
| Train(const std::vector< arma::mat > &predictors, const std::vector< arma::vec > &responses, const std::vector< arma::Row< size_t > > &stateSeq) | HMMRegression | |
| HMM< distribution::RegressionDistribution >::Train(const std::vector< arma::mat > &dataSeq) | HMM< distribution::RegressionDistribution > | |
| HMM< distribution::RegressionDistribution >::Train(const std::vector< arma::mat > &dataSeq, const std::vector< arma::Row< size_t > > &stateSeq) | HMM< distribution::RegressionDistribution > | |
| Transition() const | HMM< distribution::RegressionDistribution > | inline |
| Transition() | HMM< distribution::RegressionDistribution > | inline |
| transitionProxy | HMM< distribution::RegressionDistribution > | protected |