xmm::SingleClassGMM Member List

This is the complete list of members for xmm::SingleClassGMM, including all inherited members.

__str__() const	xmm::Writable	inline
addCovarianceOffset()	xmm::SingleClassGMM	protected
allocate()	xmm::SingleClassGMM	protectedvirtual
beta	xmm::SingleClassGMM
cancel_training_	xmm::SingleClassProbabilisticModel	protected
cancelTraining()	xmm::SingleClassProbabilisticModel
cancelTrainingIfRequested()	xmm::SingleClassProbabilisticModel	protected
check_training() const	xmm::SingleClassProbabilisticModel	inlineprotected
components	xmm::SingleClassGMM
current_regularization	xmm::SingleClassGMM	protected
emAlgorithmHasConverged(int step, double log_prob, double old_log_prob) const	xmm::SingleClassProbabilisticModel	protected
emAlgorithmInit(TrainingSet *trainingSet)	xmm::SingleClassGMM	protectedvirtual
emAlgorithmTerminate()	xmm::SingleClassProbabilisticModel	protectedvirtual
emAlgorithmUpdate(TrainingSet *trainingSet)	xmm::SingleClassGMM	protectedvirtual
filter(std::vector< float > const &observation)	xmm::SingleClassGMM	virtual
fromJson(Json::Value const &root)	xmm::SingleClassGMM	virtual
HierarchicalHMM class	xmm::SingleClassGMM	friend
initCovariances_fullyObserved(TrainingSet *trainingSet)	xmm::SingleClassGMM	protected
initMeansWithKMeans(TrainingSet *trainingSet)	xmm::SingleClassGMM	protected
initParametersToDefault(std::vector< float > const &dataStddev)	xmm::SingleClassGMM	protected
is_training_	xmm::SingleClassProbabilisticModel	protected
isTraining() const	xmm::SingleClassProbabilisticModel
label	xmm::SingleClassProbabilisticModel
likelihood(std::vector< float > const &observation, std::vector< float > const &observation_output=null_vector_float)	xmm::SingleClassGMM	protected
likelihood_buffer_	xmm::SingleClassProbabilisticModel	protected
mixture_coeffs	xmm::SingleClassGMM
Model class	xmm::SingleClassGMM	friend
normalizeMixtureCoeffs()	xmm::SingleClassGMM	protected
obsProb(const float *observation, int mixtureComponent=-1) const	xmm::SingleClassGMM	protected
obsProb_bimodal(const float *observation_input, const float *observation_output, int mixtureComponent=-1) const	xmm::SingleClassGMM	protected
obsProb_input(const float *observation_input, int mixtureComponent=-1) const	xmm::SingleClassGMM	protected
operator=(SingleClassGMM const &src)	xmm::SingleClassGMM
xmm::SingleClassProbabilisticModel::operator=(SingleClassProbabilisticModel const &src)	xmm::SingleClassProbabilisticModel
parameters	xmm::SingleClassGMM
readFile(char *fileName)	xmm::Writable	inline
regression(std::vector< float > const &observation_input)	xmm::SingleClassGMM	protected
reset()	xmm::SingleClassGMM	virtual
results	xmm::SingleClassGMM
shared_parameters	xmm::SingleClassProbabilisticModel
SingleClassGMM(std::shared_ptr< SharedParameters > p=NULL)	xmm::SingleClassGMM
SingleClassGMM(SingleClassGMM const &src)	xmm::SingleClassGMM
SingleClassGMM(std::shared_ptr< SharedParameters > p, Json::Value const &root)	xmm::SingleClassGMM	explicit
SingleClassHMM class	xmm::SingleClassGMM	friend
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
toJson() const	xmm::SingleClassGMM	virtual
train(TrainingSet *trainingSet)	xmm::SingleClassProbabilisticModel
training_events	xmm::SingleClassProbabilisticModel
training_mutex_	xmm::SingleClassProbabilisticModel	protected
training_status	xmm::SingleClassProbabilisticModel
updateInverseCovariances()	xmm::SingleClassGMM	protected
updateResults()	xmm::SingleClassGMM	protected
writeFile(char *fileName) const	xmm::Writable	inline
~SingleClassProbabilisticModel()	xmm::SingleClassProbabilisticModel	virtual
~Writable()	xmm::Writable	inlinevirtual