Convience template to create a mva filter for a set of variables. More...

Inheritance diagram for MVAFilter< AVarSet >:

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Collaboration diagram for MVAFilter< AVarSet >:

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Public Types
using	Object = typename AVarSet::Object
	Type of the object to be analysed.

using	Interface = Filter< AObject >
	Mark this class as the basic interface.

Public Member Functions
	MVAFilter (const std::string &defaultTrainingName="", double defaultCut=NAN, const std::string &defaultDBObjectName="")
	Constructor of the filter.

	~MVAFilter ()
	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 Weight	operator() (const Object &obj)
	Function to evaluate the object. More...

Weight	operator() (const Object *obj)
	Function to evaluate the object. More...

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.

void	beginEvent () override
	Receive and dispatch signal for the start of a new event.

void	endRun () override
	Receive and dispatch signal for the end of the run.

void	terminate () override
	Receive and dispatch Signal for termination of the event processing.

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.

void	addProcessingSignalListener (ProcessingSignalListener *psl)
	Register a processing signal listener to be notified.

int	getNProcessingSignalListener ()
	Get the number of currently registered listeners.

Private Types
using	Super = MVA< Filter< typename AVarSet::Object > >
	Type of the super 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.

std::vector< ProcessingSignalListener * >	m_subordinaryProcessingSignalListeners
	References to subordinary signal processing listener contained in this findlet.

bool	m_initialized = false
	Flag to keep track whether initialization happend before.

bool	m_terminated = false
	Flag to keep track whether termination happend before.

std::string	m_initializedAs
	Name of the type during initialisation.

Detailed Description

Convience template to create a mva filter for a set of variables.

Definition at line 92 of file MVAFilter.dcl.h.

Member Function Documentation

Weight operator() ( const Object & obj )

virtualinherited

Function to evaluate the object.

Base implementation accepts all objects.

Parameters

obj	The object to be accepted or rejected.

Returns: A finite float value if the object is accepted. NAN if the object is rejected.

Definition at line 52 of file Filter.icc.h.

Weight operator() ( const Object * obj )

inherited

Function to evaluate the object.

Base implementation accepts all objects, except nullptr.

Parameters

obj	The object to be accepted or rejected.

Returns: A finit float value if the object is accepted. NAN if the object is rejected. Nullptr is always rejected.

Definition at line 58 of file Filter.icc.h.

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