RegressionFastBDTOptions Class Reference

Explicit template specification for FastBDTs for regression options. More...

#include <RegressionFastBDT.h>

Inheritance diagram for RegressionFastBDTOptions:

Collaboration diagram for RegressionFastBDTOptions:

Public Member Functions
std::string	getMethod () const override
	Return a correct name for this method.
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 FastBDTOptions &	getBaseClassifierOptions () const
	Return options of the base classifier (const version)
FastBDTOptions &	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.

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

Detailed Description

Explicit template specification for FastBDTs for regression options.

Definition at line 22 of file RegressionFastBDT.h.

Member Function Documentation

getBaseClassifierOptions() [1/2]

FastBDTOptions & getBaseClassifierOptions

inherited

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

Definition at line 49 of file Regression.h.

{
  return m_baseClassifierOptions;
}

getBaseClassifierOptions() [2/2]

const FastBDTOptions & getBaseClassifierOptions

inherited

Return options of the base classifier (const version)

Definition at line 46 of file Regression.h.

{
  return m_baseClassifierOptions;
}

getDescription()

po::options_description getDescription

overridevirtualinherited

Get the descriptions for these options.

Implements Options.

Definition at line 43 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

inherited

Return the number of bins to use.

Definition at line 52 of file Regression.h.

{
  return m_numberOfBins;
}

getMethod()

std::string getMethod ( ) const

inlineoverridevirtual

Return a correct name for this method.

Implements SpecificOptions.

Definition at line 25 of file RegressionFastBDT.h.

{ return "RegressionFastBDT"; }

load()

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

overridevirtualinherited

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

Implements Options.

Definition at line 37 of file Regression.h.

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

save()

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

overridevirtualinherited

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

Implements Options.

Definition at line 40 of file Regression.h.

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

setMaximalBinNumber()

void setMaximalBinNumber ( unsigned int  maximalBinNumber )

inherited

Set the number of bins to use.

Definition at line 55 of file Regression.h.

{
  m_numberOfBins = maximalBinNumber;
}

Member Data Documentation

m_baseClassifierOptions

FastBDTOptions m_baseClassifierOptions

privateinherited

Options of the base classifier.

Definition at line 59 of file Regression.h.

m_numberOfBins

unsigned int m_numberOfBins

privateinherited

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/RegressionFastBDT.h