metric.h File Reference

#include <cstdio>
#include <cstdlib>
#include <iostream>
#include <ostream>
#include <fstream>
#include <string>
#include <time.h>
#include <sstream>
#include <iomanip>
#include <math.h>
#include "CImg.h"
#include "file.h"
#include "points.h"
#include "datatypedef.h"
#include "tecplotwriter.h"
#include "colormaps.h"
#include "BoundingBox.hpp"

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Classes
class	metric

Functions
void	print_metrics ()
	Sample Correlation Coefficient. More...
metric *	metric_select (int m, std::vector< points * > dss1, std::vector< points * > dss2, int var_ds1, int var_ds2, ofstream &outfile, string outprefix)

Function Documentation

metric* metric_select	(	int	m,
		std::vector< points * >	dss1,
		std::vector< points * >	dss2,
		int	var_ds1,
		int	var_ds2,
		ofstream &	outfile,
		string	outprefix
	)

Definition at line 1194 of file metric.cpp.

Referenced by compareFiles().

                                                          {

    metric *ret;

    //Indexed points conversion
    // - For metrics that require indexed_points
    //indexed_points *ds1_ip = dynamic_cast<indexed_points*>(ds1);
    //indexed_points *ds2_ip = dynamic_cast<indexed_points*>(ds2);

    switch (m){
/*
        case 1:
            ret = new mse(ds1, ds2, var_ds1, var_ds2, outfile, outprefix);
            break;

        case 2:
            ret = new rmse(ds1, ds2, var_ds1, var_ds2, outfile, outprefix);
            break;

        case 3:
            ret = new scc(ds1, ds2, var_ds1, var_ds2, outfile, outprefix);
            break;

        case 4:
            ret = new difmap(ds1_ip, ds2_ip, var_ds1, var_ds2, outfile, outprefix);
            break;

        case 5:
            ret = new difmap_wkey(ds1_ip, ds2_ip, var_ds1, var_ds2, outfile, outprefix);
            break;

        case 6:
            ret = new colmap(ds1_ip, ds2_ip, var_ds1, var_ds2, outfile, outprefix);
            break;

        case 7:
            ret = new scorco(ds1, ds2, var_ds1, var_ds2, outfile, outprefix);
            break;

        case 8:
            ret = new modef(ds1, ds2, var_ds1, var_ds2, outfile, outprefix);
            break;
*/
        default:
            ret = NULL;
            break;

    }

    return ret;

}

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void print_metrics

(

)

Sample Correlation Coefficient.

Get the average of the var_ds1 variable in dataset 1

Returns

Average value Get the average of the var_ds2 variable in dataset2

Average value Modelling Efficiency

Definition at line 1161 of file metric.cpp.

References i.

Referenced by printUsage().

                    {

    int i=0;

    ofstream unset;
    string nullstr("");
/*
    mse one(NULL, NULL, -1, -1, unset, nullstr);
    cout<<"\t"<<++i<<": "<<one.get_metric_name()<<"\n";

    rmse two(NULL, NULL, -1, -1, unset, nullstr);
    cout<<"\t"<<++i<<": "<<two.get_metric_name()<<"\n";

    scc three(NULL, NULL, -1, -1, unset, nullstr);
    cout<<"\t"<<++i<<": "<<three.get_metric_name()<<"\n";

    difmap four(NULL, NULL, -1, -1, unset, nullstr);
    cout<<"\t"<<++i<<": "<<four.get_metric_name()<<"\n";

    difmap_wkey five(NULL, NULL, -1, -1, unset, nullstr);
    cout<<"\t"<<++i<<": "<<five.get_metric_name()<<"\n";

    colmap six(NULL, NULL, -1, -1, unset, nullstr);
    cout<<"\t"<<++i<<": "<<six.get_metric_name()<<"\n";

    scorco seven(NULL, NULL, -1, -1, unset, nullstr);
    cout<<"\t"<<++i<<": "<<seven.get_metric_name()<<"\n";

    modef eight(NULL, NULL, -1, -1, unset, nullstr);
    cout<<"\t"<<++i<<": "<<eight.get_metric_name()<<"\n";
*/
}

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