KrisLibrary  1.0.0
Statistics::GaussianHMM Member List

This is the complete list of members for Statistics::GaussianHMM, including all inherited members.

discretePrior (defined in Statistics::GaussianHMM)Statistics::GaussianHMM
emissionModels (defined in Statistics::GaussianHMM)Statistics::GaussianHMM
Filter(const Vector &p0, const Vector &obs, Vector &pnext) const Statistics::GaussianHMM
GaussianHMM() (defined in Statistics::GaussianHMM)Statistics::GaussianHMM
GaussianHMM(int k, int d) (defined in Statistics::GaussianHMM)Statistics::GaussianHMM
GaussianHMM(const GaussianMixtureModel &) (defined in Statistics::GaussianHMM)Statistics::GaussianHMM
LogLikelihood(const std::vector< int > &dstates, const std::vector< Vector > &observations) const Statistics::GaussianHMM
LogLikelihood(const std::vector< Vector > &observations) const (defined in Statistics::GaussianHMM)Statistics::GaussianHMM
MAP(const std::vector< Vector > &observations, std::vector< int > &dstates) const Statistics::GaussianHMM
NumDims() const (defined in Statistics::GaussianHMM)Statistics::GaussianHMM
ObservationDistribution(const Vector &p0, GaussianMixtureModel &model) const Statistics::GaussianHMM
Posterior(const std::vector< Vector > &observations, std::vector< Vector > &pstate) const Statistics::GaussianHMM
Posterior(const std::vector< Vector > &observations, std::vector< Vector > &pstate, Matrix &tstate) const Statistics::GaussianHMM
Predict(const Vector &p0, Vector &pt, int numsteps=1) const Statistics::GaussianHMM
Probability(const Vector &p0, const Vector &obs) const (defined in Statistics::GaussianHMM)Statistics::GaussianHMM
Resize(int k, int d) (defined in Statistics::GaussianHMM)Statistics::GaussianHMM
SetUniformExitProbabilities(Real pExit) (defined in Statistics::GaussianHMM)Statistics::GaussianHMM
SetUniformTransitions() (defined in Statistics::GaussianHMM)Statistics::GaussianHMM
TrainDiagonalEM(const std::vector< std::vector< Vector > > &examples, Real &tol, int maxIters, int verbose=0) (defined in Statistics::GaussianHMM)Statistics::GaussianHMM
TrainEM(const std::vector< std::vector< Vector > > &examples, Real &tol, int maxIters, int verbose=0)Statistics::GaussianHMM
transitionMatrix (defined in Statistics::GaussianHMM)Statistics::GaussianHMM
Update(const Vector &p0, const Vector &obs, Vector &pobs) const Statistics::GaussianHMM