Class to interact with the MVA package. More...

#include <MVAExpert.h>

Classes
class	Impl
	Implementation of the class to interact with the MVA package. More...

Public Member Functions
	MVAExpert (const std::string &identifier, std::vector< Named< Float_t * > > namedVariables)
	Construct the Expert with the specified weight folder and the name of the training that was used in the teacher run.

	~MVAExpert ()
	Destructor must be defined in cpp because of PImpl pointer.

void	initialize ()
	Initialise the mva method.

void	beginRun ()
	Update the mva method to the new run.

double	predict ()
	Evaluate the MVA method and return the MVAOutput.

std::vector< float >	predict (float *, int, int nRows)
	Evaluate the MVA method and return the MVAOutput for multiple inputs at the same time.

std::vector< std::string >	getVariableNames ()
	Get selected variable names.

Private Attributes
std::unique_ptr< Impl >	m_impl
	Pointer to implementation hiding the details.

Detailed Description

Class to interact with the MVA package.

Definition at line 26 of file MVAExpert.h.

Constructor & Destructor Documentation

◆ MVAExpert()

MVAExpert	(	const std::string &	identifier,
		std::vector< Named< Float_t * > >	namedVariables
	)

Construct the Expert with the specified weight folder and the name of the training that was used in the teacher run.

Parameters

identifier	A database identifier or local file name.
namedVariables	The names and pointers to the variables to be fed to the mva method

Member Function Documentation

◆ beginRun()

void beginRun ( )

Update the mva method to the new run.

Definition at line 213 of file MVAExpert.cc.

{
  return m_impl->beginRun();
}

◆ getVariableNames()

std::vector< std::string > getVariableNames ( )

Get selected variable names.

Definition at line 228 of file MVAExpert.cc.

{
  return m_impl->getVariableNames();
}

◆ initialize()

void initialize ( )

Initial value:

{
}
 
MVAExpert::~MVAExpert() = default

Initialise the mva method.

PImpl Interface.

Definition at line 208 of file MVAExpert.cc.

{
  return m_impl->initialize();
}

◆ predict() [1/2]

double predict ( )

Evaluate the MVA method and return the MVAOutput.

Definition at line 218 of file MVAExpert.cc.

{
  return m_impl->predict();
}

◆ predict() [2/2]

std::vector< float > predict	(	float *	test_data,
		int	nFeature,
		int	nRows
	)

Evaluate the MVA method and return the MVAOutput for multiple inputs at the same time.

Definition at line 223 of file MVAExpert.cc.

{
  return m_impl->predict(test_data, nFeature, nRows);
}

Member Data Documentation

◆ m_impl

std::unique_ptr<Impl> m_impl

private

Pointer to implementation hiding the details.

Definition at line 59 of file MVAExpert.h.

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

tracking/trackFindingCDC/mva/include/MVAExpert.h
tracking/trackFindingCDC/mva/src/MVAExpert.cc

Classes

Public Member Functions

Private Attributes