RWLogRegModelSelector< F > Class Template Reference

For a logistic regression model, selects a subset of predictor variables that accounts for the variation in the regression model's observation variable. More...

#include <rw/analytics/lgmodsel.h>

Inheritance diagram for RWLogRegModelSelector< F >:

Public Member Functions
	RWLogRegModelSelector ()
	RWLogRegModelSelector (const RWLogisticRegression &reg, RWSearchMethod s)
	RWLogRegModelSelector (const RWLogRegModelSelector< F > &rhs)
RWLogRegModelSelector< F > &	operator= (const RWLogRegModelSelector< F > &rhs)
Public Member Functions inherited from RWRegressionModelSelector< double, bool, F >
	RWRegressionModelSelector ()
	RWRegressionModelSelector (const RWRegression< double, bool > &reg, RWSearchMethod s)
	RWRegressionModelSelector (const RWRegressionModelSelector< double, bool, F > &rhs)
virtual	~RWRegressionModelSelector ()
const RWRegressionCalc< double, bool > &	calcMethod () const
double	evalFunctionForSelected () const
bool	fail () const
RWCString	failMessage () const
RWRegressionModelSelector< double, bool, F > &	operator= (const RWRegressionModelSelector< double, bool, F > &rhs)
RWSearchMethod	searchMethod () const
const RWBitVec &	selectedParamIndices () const
const RWBitVec &	selectedParamIndices (RWSearchMethod s)
const RWMathVec< double > &	selectedParamValues () const
void	setCalcMethod (const RWRegressionCalc< double, bool > &c)
void	setRegression (const RWRegression< double, bool > &r)
void	setSearchMethod (RWSearchMethod s)

Detailed Description

template<class F>
class RWLogRegModelSelector< F >

RWLogRegModelSelector is the class for logistic regression model selection. Provided with a logistic regression model containing a set of candidate predictor variables, the RWLogRegModelSelector class selects a subset of predictor variables that still accounts well for the variation in the regression model's observation variable. The criteria for selecting one predictor subset over another are determined by the template parameter F. Class F is a function object that returns a numerical value whenever it is given a regression matrix, an observation vector, and parameter estimates.

To be used as a template parameter for RWLogRegModelSelector, a class F must implement the following interface:

class F {
 public:
  double operator()(const RWGenMat<double>& regressionMatrix,
                    const RWMathVec<bool>& observationVector,
                    const RWMathVec<double>& parameterEstimates);
};

Synopsis

#include <rw/analytics/gpvalfun.h>
#include <rw/analytics/lgmodsel.h>
#include <rw/analytics/logregress.h>
 
RWLogisticRegression lr;
RWLogRegModelSelector<RWGPValueFunctor> modelSelector(
    lr, rwForwardSelection);

Example

#include <rw/analytics/gpvalfun.h>
#include <rw/analytics/lgmodsel.h>
#include <rw/analytics/loglevbg.h>
#include <rw/analytics/logregress.h>
#include <iostream>
 
int main() {
  RWGenMat<double> predData = "5x2 [1 234 2 431 3
                                   333 4 654 5 788]";
  RWMathVec<bool> obsData(5, rwUninitialized );
  obsData[0] = obsData[3] = obsData[4] = true;
  obsData[1] = obsData[2] = false;
 
  RWLogisticRegression lr(predData, obsData,
                          RWLogisticLevenbergMarquardt());
  RWLogRegModelSelector<RWGPValueFunctor> selector(lr,
                                                   rwForwardSelection);
 
  std::cout << "Searching using forward selection---------------"
            << std::endl;
  std::cout << "selected parameter indices: "
            << selector.selectedParamIndices() << std::endl;
  std::cout << "model criterion value: "
            << selector.evalFunctionForSelected() << std::endl;
 
  std::cout << "Searching using backward selection--------------"
            << std::endl;
  selector.setSearchMethod(rwBackwardSelection);
  std::cout << "selected parameter indices: "
            << selector.selectedParamIndices() << std::endl;
  std::cout << "model criterion value: "
            << selector.evalFunctionForSelected() << std::endl;
  return 0;
}

Constructor & Destructor Documentation

RWLogRegModelSelector() [1/3]

template<class F >

RWLogRegModelSelector< F >::RWLogRegModelSelector ( )

inline

Default constructor. Behavior undefined.

RWLogRegModelSelector() [2/3]

template<class F >

RWLogRegModelSelector< F >::RWLogRegModelSelector ( const RWLogRegModelSelector< F > & rhs )

inline

Copy constructor.

RWLogRegModelSelector() [3/3]

template<class F >

RWLogRegModelSelector< F >::RWLogRegModelSelector ( const RWLogisticRegression & reg, RWSearchMethod s )

inline

Constructs a model selector using the search method s.

Member Function Documentation

operator=()

template<class F >

RWLogRegModelSelector< F > & RWLogRegModelSelector< F >::operator= ( const RWLogRegModelSelector< F > & rhs )

inline

Assignment operator.