mixmod  3.2.0
Mixture models for clustering and classification
 All Classes Namespaces Files Functions Variables Enumerations Friends
XEM::LearnModelOutput Class Reference
Inheritance diagram for XEM::LearnModelOutput:
Collaboration diagram for XEM::LearnModelOutput:

Public Member Functions

 LearnModelOutput ()
 Default Constructor.
 
 LearnModelOutput (Model *estimation)
 Initialization Constructor 1.
 
 LearnModelOutput (ModelType &modelType, int64_t nbCluster, std::vector< CriterionOutput * > &criterionOutput, double likelihood, ParameterDescription &parameterDescription, LabelDescription &labelDescription, ProbaDescription &probaDescription)
 Initialization Constructor 2.
 
 LearnModelOutput (ModelType &modelType, int64_t nbCluster, Exception &error)
 Initialization Constructor 3.
 
 LearnModelOutput (const LearnModelOutput &cModelOutput)
 Copy Constructor.
 
virtual ~LearnModelOutput ()
 Destructor.
 
void setCVLabel (Model *estimation, std::vector< int64_t > &cvLabel)
 set CV Labels
 
const LabelDescriptiongetCVLabel () const
 get CV Label
 
- Public Member Functions inherited from XEM::ModelOutput
 ModelOutput ()
 Default Constructor.
 
 ModelOutput (const ModelOutput &modelOutput)
 Copy Constructor.
 
 ModelOutput (Model *estimation)
 Initialization Constructor 1.
 
 ModelOutput (ModelType &modelType, int64_t nbCluster, std::vector< CriterionOutput * > &criterionOutput, double likelihood, ParameterDescription &parameterDescription, LabelDescription &labelDescription, ProbaDescription &probaDescription)
 Initialization Constructor 2.
 
 ModelOutput (ModelType &modelType, int64_t nbCluster, Exception &error)
 Initialization Constructor 3.
 
virtual ~ModelOutput ()
 Destructor.
 
bool operator== (const ModelOutput &modelOutput) const
 Comparison operator.
 
ModelType getModelType () const
 
int64_t getNbCluster () const
 
ParameterDescriptiongetParameterDescription () const
 
LabelDescriptiongetLabelDescription () const
 
ProbaDescriptiongetProbaDescription () const
 
ExceptiongetStrategyRunError () const
 
ModelgetModel () const
 
double getLikelihood () const
 
CriterionOutput const & getCriterionOutput (CriterionName criterionName) const
 
CriterionOutput const & getCriterionOutput (const int index) const
 
CriterionOutputgetCriterionOutput (CriterionName criterionName)
 
void setCriterionOutput (CriterionOutput const &criterionOutput)
 

The documentation for this class was generated from the following files: