Filter based on a mva method.
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#include <MVAFilter.dcl.h>
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using | Object = typename AFilter::Object |
| | Type of the object to be analysed.
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| MVA (std::unique_ptr< AVarSet > varSet, const std::string &identifier="", double defaultCut=NAN, const std::string &dbObjectName="") |
| | Constructor of the filter.
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virtual | ~MVA () |
| | Default destructor.
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void | exposeParameters (ModuleParamList *moduleParamList, const std::string &prefix) override |
| | Expose the set of parameters of the filter to the module parameter list.
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void | initialize () override |
| | Initialize the expert before event processing.
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void | beginRun () override |
| | Signal to load new run parameters.
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Weight | operator() (const Object &obj) override |
| | Function to object for its signalness.
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virtual double | predict (const Object &obj) |
| | Evaluate the mva method.
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bool | needsTruthInformation () override |
| | Checks if any variables need Monte Carlo information.
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std::unique_ptr< AVarSet > | releaseVarSet () && |
| | Steal the set of variables form this filter - filter becomes disfunctional afterwards.
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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: