mixmod  3.2.0
Mixture models for clustering and classification
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XEM::ClusteringOutput Class Reference

Public Member Functions

 ClusteringOutput (std::vector< CriterionName > const &criterionName)
 Default Constructor.
 
 ClusteringOutput (const ClusteringOutput &cOutput)
 Copy Constructor.
 
ClusteringOutputclone ()
 
void addEstimation (ClusteringModelOutput *cmoutput)
 
 ClusteringOutput (std::vector< Model * > const &estimations, std::vector< CriterionName > const &criterionName)
 Initialization constructor.
 
virtual ~ClusteringOutput ()
 Destructor.
 
bool operator== (const ClusteringOutput &output) const
 Comparison operator.
 
bool operator!= (const ClusteringOutput &output) const
 
bool atLeastOneEstimationNoError () const
 
const int getNbEstimationWithNoError () const
 
void sort (CriterionName criterionName)
 sort vector of XEMClusteringModelOutput (with the ith criterion value)
 
void editFile () const
 
ClusteringModelOutputgetClusteringModelOutput (const int64_t index) const
 
int64_t getNbClusteringModelOutput () const
 
std::vector
< ClusteringModelOutput * >
const & 
getClusteringModelOutput () const
 
void setClusteringModelOutput (std::vector< ClusteringModelOutput * > &clusteringModelOutput)
 
const int getCriterionSize () const
 
const CriterionNamegetCriterionName (const int index) const
 
const std::vector
< CriterionName > & 
getCriterionName () const
 

Member Function Documentation

ClusteringModelOutput * XEM::ClusteringOutput::getClusteringModelOutput ( const int64_t  index) const
inline

return the index'th' ClusteringModelOutput Note : index is between 0 and size(ClusteringModelOutput)-1


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