RegressionOptions< BaseClassifierOptions > Class Template Reference

Generic options of the Regression MVA methods hosting the number of bins (and the base classifier options). More...

#include <Regression.h>

Inheritance diagram for RegressionOptions< BaseClassifierOptions >:

Public Member Functions
void	load (const boost::property_tree::ptree &pt) override
	Load the options from a boost property tree. Only loads the maximal bin number.
void	save (boost::property_tree::ptree &pt) const override
	Save the options from a boost property tree. Only saves the maximal bin number.
po::options_description	getDescription () override
	Get the descriptions for these options.
const BaseClassifierOptions &	getBaseClassifierOptions () const
	Return options of the base classifier (const version)
BaseClassifierOptions &	getBaseClassifierOptions ()
	Return options of the base classifier (non-const version)
unsigned int	getMaximalBinNumber () const
	Return the number of bins to use.
void	setMaximalBinNumber (unsigned int maximalBinNumber)
	Set the number of bins to use.
virtual std::string	getMethod () const =0
	Returns method name, used in the interface to register the method.

Private Attributes
BaseClassifierOptions	m_baseClassifierOptions
	Options of the base classifier.
unsigned int	m_numberOfBins = 4
	How many bins to use.

Detailed Description

template<class BaseClassifierOptions>
class Belle2::MVA::RegressionOptions< BaseClassifierOptions >

Generic options of the Regression MVA methods hosting the number of bins (and the base classifier options).

You need to override this to add a getMethod() function. See the RegressionFastBDTOptions as an example.

Definition at line 34 of file Regression.h.

Member Function Documentation

getBaseClassifierOptions() [1/2]

BaseClassifierOptions & getBaseClassifierOptions

Return options of the base classifier (non-const version)

Definition at line 221 of file Regression.h.

{
  return m_baseClassifierOptions;
}

getBaseClassifierOptions() [2/2]

const BaseClassifierOptions & getBaseClassifierOptions

Return options of the base classifier (const version)

Definition at line 215 of file Regression.h.

{
  return m_baseClassifierOptions;
}

getDescription()

po::options_description getDescription

overridevirtual

Get the descriptions for these options.

Implements Options.

Definition at line 233 of file Regression.h.

{
  auto description = getBaseClassifierOptions().getDescription();
 
  description.add_options()
  ("numberOfBins", po::value<unsigned int>(&m_numberOfBins),
   "Number of bins to split the target variable into");
 
  return description;
}

getMaximalBinNumber()

unsigned int getMaximalBinNumber

Return the number of bins to use.

Definition at line 203 of file Regression.h.

{
  return m_numberOfBins;
}

getMethod()

virtual std::string getMethod ( ) const

pure virtualinherited

Returns method name, used in the interface to register the method.

Implemented in CombinationOptions, FANNOptions, FastBDTOptions, PDFOptions, PythonOptions, RegressionFastBDTOptions, ReweighterOptions, TMVAOptions, TMVAOptionsClassification, TMVAOptionsMulticlass, TMVAOptionsRegression, and TrivialOptions.

load()

void load ( const boost::property_tree::ptree &  pt )

overridevirtual

Load the options from a boost property tree. Only loads the maximal bin number.

Implements Options.

Definition at line 197 of file Regression.h.

{
  m_numberOfBins = pt.get<unsigned int>(getMethod() + "_numberOfBins");
}

save()

void save ( boost::property_tree::ptree &  pt ) const

overridevirtual

Save the options from a boost property tree. Only saves the maximal bin number.

Implements Options.

Definition at line 227 of file Regression.h.

{
  pt.put(getMethod() + "_numberOfBins", m_numberOfBins);
}

setMaximalBinNumber()

void setMaximalBinNumber

(

unsigned int

maximalBinNumber

)

Set the number of bins to use.

Definition at line 209 of file Regression.h.

{
  m_numberOfBins = maximalBinNumber;
}

Member Data Documentation

m_baseClassifierOptions

BaseClassifierOptions m_baseClassifierOptions

private

Options of the base classifier.

Definition at line 59 of file Regression.h.

m_numberOfBins

unsigned int m_numberOfBins = 4

private

How many bins to use.

Definition at line 61 of file Regression.h.

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

• mva/methods/include/Regression.h