Dataset needed during the training of a regression method. More...

#include <Regression.h>

Inheritance diagram for RegressionDataSet:

Collaboration diagram for RegressionDataSet:

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Public Member Functions
	RegressionDataSet (const GeneralOptions &general_options, Dataset *dataSet, double cutValue)
	Create a new regression data set out of the general options, a pointer to the real dataset and the cut value.

unsigned int	getNumberOfFeatures () const override
	Return the number of features from the real dataset.

unsigned int	getNumberOfEvents () const override
	Return the number of events from the real dataset.

unsigned int	getNumberOfSpectators () const override
	Return the number of spectators from the real dataset.

void	loadEvent (unsigned int iEvent) override
	Load an event. Sets all internal variables and sets the isSignal variable dependent on the cut value.

std::vector< float >	getFeature (unsigned int iFeature) override
	Return a specific feature from the real dataset.

std::vector< float >	getSpectator (unsigned int iSpectator) override
	Return a specific spectator from the real dataset.

std::vector< float >	getWeights () override
	Return the weights from the real dataset.

std::vector< float >	getTargets () override
	Return the targets from the real dataset.

virtual float	getSignalFraction ()
	Returns the signal fraction of the whole sample.

virtual unsigned int	getFeatureIndex (const std::string &feature)
	Return index of feature with the given name. More...

virtual unsigned int	getSpectatorIndex (const std::string &spectator)
	Return index of spectator with the given name. More...

virtual std::vector< bool >	getSignals ()
	Returns all is Signals.

Public Attributes
GeneralOptions	m_general_options
	GeneralOptions passed to this dataset.

std::vector< float >	m_input
	Contains all feature values of the currently loaded event.

std::vector< float >	m_spectators
	Contains all spectators values of the currently loaded event.

float	m_weight
	Contains the weight of the currently loaded event.

float	m_target
	Contains the target value of the currently loaded event.

bool	m_isSignal
	Defines if the currently loaded event is signal or background.

Detailed Description

Dataset needed during the training of a regression method.

It basically wraps another dataset it receives as pointer and every call to this dataset is forwarded to the other dataset.

The only difference is, that the isSignal variable is set dependent on the cut value given in the constructor to

 isSignal = target >= cutValue

to generate a binary classification out of a regression task.

Definition at line 77 of file Regression.h.

Member Function Documentation

unsigned int getFeatureIndex ( const std::string & feature )

virtualinherited

Return index of feature with the given name.

Parameters

feature name of the feature

Definition at line 50 of file Dataset.cc.

unsigned int getSpectatorIndex ( const std::string & spectator )

virtualinherited

Return index of spectator with the given name.

Parameters

spectator name of the spectator

Definition at line 62 of file Dataset.cc.

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