NICE_VisLearning/cbaselib/progs/statisticsLabeledSetVector.cpp

#include <stdio.h>
#include <stdlib.h>

#include <vislearning/cbaselib/LabeledSet.h>

using namespace std;
using namespace OBJREC;

int main ( int argc, char **argv )
{

    Config conf ( argc, argv );

    string setfn = conf.gS("main", "set", "train.vec" );
    int format = conf.gI("main", "format", 2 );

    LabeledSetVector set;

    set.read ( setfn, format );

    set.printInformation();

    double maximum_value = - numeric_limits<double>::max();
    double minimum_value = numeric_limits<double>::max();
    double maximum_norm = 0;
    double minimum_norm = numeric_limits<double>::max();

    LOOP_ALL(set)
    {
	EACH(classno, x);

	if ( x.Max() > maximum_value ) 
	    maximum_value = x.Max();

	if ( x.Min() < minimum_value ) 
	    minimum_value = x.Min();

	if ( x.normL2() > maximum_norm )
	    maximum_norm = x.normL2();

	if ( x.normL2() < minimum_norm )
	    minimum_norm = x.normL2();

    }

    fprintf (stderr, "min value: %f\n", minimum_value );
    fprintf (stderr, "max value: %f\n", maximum_value );
    fprintf (stderr, "min L2-norm: %f\n", minimum_norm );
    fprintf (stderr, "max L2-norm: %f\n", maximum_norm );
    fprintf (stderr, "dimension: %d\n", set.dimension() );
}