Belle II Software
release-08-01-10
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Background facetRelation detection based on MVA. More...
#include <MVAFacetRelationFilter.h>
Public Types | |
using | Object = typename AFilter::Object |
Type of the object to be analysed. | |
Public Member Functions | |
MVAFacetRelationFilter () | |
Constructor initialising the MVAFilter with standard training name for this filter. | |
Weight | predict (const Relation< const CDCFacet > &facetRelation) final |
Main filter method returning the weight of the facet relation. More... | |
void | exposeParameters (ModuleParamList *moduleParamList, const std::string &prefix) override |
Expose the set of parameters of the filter to the module parameter list. | |
void | initialize () override |
Initialize the expert before event processing. | |
void | beginRun () override |
Signal to load new run parameters. | |
Weight | operator() (const Object &obj) override |
Function to object for its signalness. | |
virtual double | predict (const Object &obj) |
Evaluate the mva method. | |
bool | needsTruthInformation () override |
Checks if any variables need Monte Carlo information. | |
std::unique_ptr< AVarSet > | releaseVarSet () && |
Steal the set of variables form this filter - filter becomes disfunctional afterwards. | |
Protected Member Functions | |
AVarSet & | getVarSet () const |
Getter for the set of variables. | |
void | setVarSet (std::unique_ptr< AVarSet > varSet) |
Setter for the set of variables. | |
Private Types | |
using | Super = MVA< BaseFacetRelationFilter > |
Type of the base class. | |
using | AVarSet = BaseVarSet< Object > |
Type of the variable set. | |
Private Attributes | |
std::string | m_identifier |
Database identifier of the expert or weight file name. | |
double | m_cutValue |
The cut on the MVA output. | |
std::string | m_DBPayloadName |
Name of the DB payload. | |
std::unique_ptr< MVAExpert > | m_mvaExpert |
MVA Expert to examine the object. | |
std::unique_ptr< AVarSet > | m_varSet |
Instance of the variable set to be used in the filter. | |
Background facetRelation detection based on MVA.
Definition at line 30 of file MVAFacetRelationFilter.h.
Main filter method returning the weight of the facet relation.
The size of the facetRelation with a small penalty depending on the mva probability.
Definition at line 23 of file MVAFacetRelationFilter.cc.