NICE_VisLearning/regression/gpregression/modelselcrit/genericGPModelSelection.h

#ifndef _NICE_OBJREC_GENERICGPMODELSELECTION_INCLUDE
#define _NICE_OBJREC_GENERICGPMODELSELECTION_INCLUDE

#include <vector>
#include <string>

#include "GPMSCLooEstimates.h"


namespace OBJREC {

class GenericGPModelSelection
{
    public:

		static GPMSCLooLikelihoodRegression *selectModelSel ( const NICE::Config *conf, std::string modelselcrit_s )
		{
			 GPMSCLooLikelihoodRegression *modelselcrit = NULL;

			 if ( modelselcrit_s == "loo_pred_prob_weighted" ) {
				 modelselcrit = new GPMSCLooLikelihoodRegression ( true );
			 } else if ( modelselcrit_s == "loo_pred_prob" ) {
				 modelselcrit = new GPMSCLooLikelihoodRegression ( false );
			 } else if ( modelselcrit_s == "loo_pred_squash_opt" ) {
				 modelselcrit = new GPMSCLooLikelihoodClassification ( );
			 } else if ( modelselcrit_s == "loo_pred_squash" ) {
				 modelselcrit = new GPMSCLooLikelihoodClassificationFixed ( );
			 } else if ( modelselcrit_s == "loo_recognition_rate" ) {
				 modelselcrit = new GPMSCLooVarious ( GPMSCLooVarious::P_RECOGNITIONRATE );
			 } else if ( modelselcrit_s == "loo_auc" ) {
				 modelselcrit = new GPMSCLooVarious ( GPMSCLooVarious::P_AUC );
			 } else if ( modelselcrit_s == "loo_avgprec" ) {
				 modelselcrit = new GPMSCLooVarious ( GPMSCLooVarious::P_AVGPREC );
			 } else {
				  fthrow ( Exception, "Model selection criterion unknown " << modelselcrit_s << " not (yet) supported." << std::endl <<
				  			"(genericGPModelSelection.h contains a list of classifiers to choose from)");
			 }

			 return modelselcrit;
		}

};

}

#endif