Filter based on a mva method.
More...
#include <MVAFilter.dcl.h>
|
using | Object = typename AFilter::Object |
| Type of the object to be analysed.
|
|
|
| MVA (std::unique_ptr< AVarSet > varSet, const std::string &identifier="", double defaultCut=NAN, const std::string &dbObjectName="") |
| Constructor of the filter.
|
|
virtual | ~MVA () |
| Default destructor.
|
|
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.
|
|
template<class AFilter>
class Belle2::TrackFindingCDC::MVA< AFilter >
Filter based on a mva method.
Definition at line 36 of file MVAFilter.dcl.h.
The documentation for this class was generated from the following files: