Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 12]

▼Nxmm
CAttribute	Generic Attribute
CAttribute< std::vector< std::string > >	Generic Attribute (Vector Specialization)
CAttribute< std::vector< T > >	Generic Attribute (Vector Specialization)
CAttributeBase	Base Class for Generic Attributes
CCircularBuffer	Simple CircularBuffer Class
CClassParameters	Class-specific Model Parameters
CClassParameters< GMM >	Parameters specific to each class of a Gaussian Mixture Model
CClassParameters< HMM >	Parameters specific to each class of a Hidden Markov Model
CClassParameters< KMeans >	Parameters specific to each class of a K-Means Algorithm
CClassResults	Class-specific Results of the filtering/inference process
CClassResults< HMM >	Results of Hidden Markov Models for a single class
CConfiguration	Model configuration
CEllipse	Structure for storing Ellipse parameters
CEventGenerator	Generator class for a specific type of events
CGaussianDistribution	Multivariate Gaussian Distribution
CGMM	Gaussian Mixture Model for Continuous Recognition and Regression (Multi-class)
CHierarchicalHMM	Hierarchical Hidden Markov Model for Continuous Recognition and Regression (Multi-class)
CHMM
CJsonException	Exception class for handling JSON parsing errors
CKMeans	K-Means Clustering algorithm
CMatrix	Dirty and very incomplete Matrix Class
CModel	Probabilistic machine learning model for multiclass recognition and regression
CPhrase	Data phrase
CPhraseEvent	Event that can be thrown by a phrase to a training set
CResults	Results of the filtering/inference process (for a Model with multiple classes)
CResults< KMeans >	Results of the clustering process
CSharedParameters	Shared Parameters for models with multiple classes
CSingleClassGMM	Single-Class Gaussian Mixture Model
CSingleClassHMM	Single-Class Hidden Markov Model
CSingleClassProbabilisticModel	Generic Template for Machine Learning Probabilistic models based on the EM algorithm
CTrainingEvent	Event for monitoring the training process
CTrainingSet	Base class for the definition of training sets
CWritable	Abstract class for handling JSON + File I/O