NangaParbat::TrainingCut Class Reference

Derivation of the class Cut to impose Cross Validation cut. More...

#include <Trainingcut.h>

Inheritance diagram for NangaParbat::TrainingCut:

Public Member Functions
	TrainingCut (DataHandler const &dataset, std::vector< std::shared_ptr< NangaParbat::Cut > > const &kincuts, double const &TrainingFrac, gsl_rng *rng, int const &NMin=10)
	The "Trainingcut" constructor. More...
	TrainingCut (TrainingCut const &cut, bool const &invert=false, std::vector< std::shared_ptr< NangaParbat::Cut > > const &kincuts={})
	The "TrainingCut" copy constructor. More...
void	EnforceCut ()
	Purely virtual function to be used implemented in the derived class to eforce the cut. More...
Public Member Functions inherited from NangaParbat::Cut
	Cut (Cut const &cut)
	The "Cut" copy constructor. More...
	Cut (DataHandler const &dataset, double const &min, double const &max)
	The "Cut" constructor. More...
virtual	~Cut ()
	The "Cut" destructor. More...
std::valarray< bool >	GetMask () const
	Function that returns the cut mask. More...

Private Attributes
gsl_rng *const	_rng
int const	_NMin

Additional Inherited Members
Protected Attributes inherited from NangaParbat::Cut
DataHandler const &	_dataset
	The dataset to be processed. More...
double const	_min
	Minimal value. More...
double const	_max
	Maximal value. More...
std::valarray< bool >	_mask
	Cut mask. More...

Detailed Description

Derivation of the class Cut to impose Cross Validation cut.

Constructor & Destructor Documentation

TrainingCut() [1/2]

NangaParbat::TrainingCut::TrainingCut	(	DataHandler const &	dataset,
		std::vector< std::shared_ptr< NangaParbat::Cut > > const &	kincuts,
		double const &	TrainingFrac,
		gsl_rng *	rng,
		int const &	NMin = 10
	)

The "Trainingcut" constructor.

Parameters

dataset	the DataHandler object subject to the cuts
kincuts	the vector kinematic cuts
TrainingFrac	Training fraction
rng	GSL random number object
NMin	Minimum number of points below which all points will be included in the training (default: 5)

TrainingCut() [2/2]

NangaParbat::TrainingCut::TrainingCut	(	TrainingCut const &	cut,
		bool const &	invert = false,
		std::vector< std::shared_ptr< NangaParbat::Cut > > const &	kincuts = {}
	)

The "TrainingCut" copy constructor.

Parameters

cut	objects to be copied
invert	whether to invert the map (default: false)
kincuts	vector of possible kinematic cuts to enforce (default: empty)

Member Function Documentation

EnforceCut()

void NangaParbat::TrainingCut::EnforceCut ( )

virtual

Purely virtual function to be used implemented in the derived class to eforce the cut.

Implements NangaParbat::Cut.

Member Data Documentation

_NMin

int const NangaParbat::TrainingCut::_NMin

private

_rng

gsl_rng* const NangaParbat::TrainingCut::_rng

private

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

• /Users/vb262523/Codes/NangaParbat-Beta/inc/NangaParbat/Trainingcut.h