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RunReconstructBeginTest.cpp
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126 lines (106 loc) · 3.51 KB
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#include "Graph.h"
#include "GraphUtils.h"
#include "RankDistance.h"
#include "RankAggregation.h"
#include "RankAggregationAvg.h"
#include <iostream>
#include <fstream>
#include <cstdlib>
#include <cmath>
#include <cassert>
using namespace std;
struct Result {
double prec_at_10;
double inversion_at_10;
double inversion_all;
};
// GT is 1234...100
// return precision @10, correc pairs top 10
Result print_precision(int samples, vector<int> ranking) {
int frac_top10_at10 = 0;
for (int i = 0; i < 20; i++) {
if (ranking[i] <= 10) {
frac_top10_at10 += 1;
}
}
int inversion_top_ten = 0;
for (int i = 0; i < 10; i++) {
for (int j = i + 1; j < 10; j++) {
if (ranking[i] > ranking[j]) {
inversion_top_ten += 1;
}
}
}
int inversion_all = 0;
for (int i = 0; i < 100; i++) {
for (int j = i + 1; j < 100; j++) {
if (ranking[i] > ranking[j]) {
inversion_all += 1;
}
}
}
Result result;
result.prec_at_10 = (double) (frac_top10_at10) / 10.0;
result.inversion_at_10 = 1.0 - (double) (2 * inversion_top_ten) / (10 * 9);
result.inversion_all = 1.0 - (double) (2 * inversion_all) / (100 * 99);
return result;
}
int main(int argc, char** argv) {
srand(time(0));
if (argc < 3) {
cerr
<< "Use: rankings_file; 0 for comparison; 1 for average based (recursive); 2 for simple avg based (only one sort); 3 for domination based ";
return 1;
}
string rankings_file = argv[1];
bool use_comparision_based = atoi(argv[2]) == 0;
bool use_average_based = atoi(argv[2]) == 1;
bool use_simple_average_based = atoi(argv[2]) == 2;
bool use_domination_based = atoi(argv[2]) == 3;
vector<Ranking> rankings;
vector<string> classes_ranks;
import_rankings(rankings_file, &rankings, &classes_ranks);
vector<int> order;
for (int i = 0; i < rankings.size(); i++) {
order.push_back(i);
}
cout << "Samples,Prec@10,CorrPairs@10,CorrPairsAll\n";
for (int i = 1; i < 31; i++) {
int samples = i * 10;
double avg_prec10 = 0;
double avg_inver10 = 0;
double avg_invers_all = 0;
int tests = 300;
for (int t = 0; t < tests; t++) {
shuffle(&order);
vector<int> res;
vector<Ranking> sub_sample;
for (int j = 0; j < samples; j++) {
sub_sample.push_back(rankings[order[j]]);
}
if (use_average_based) {
RankAggregationAvg ra;
ra.rank_aggregation(&sub_sample, &res);
} else if (use_comparision_based) {
RankAggregation ra;
ra.rank_aggregation(&sub_sample, &res);
} else if (use_simple_average_based) {
RankAggregationAvgSimple ra;
ra.rank_aggregation(&sub_sample, &res);
} else if (use_domination_based) {
RankAggregationDomination ra;
ra.rank_aggregation(&sub_sample, &res);
}
auto p = print_precision(samples, res);
avg_prec10 += p.prec_at_10;
avg_inver10 += p.inversion_at_10;
avg_invers_all += p.inversion_all;
}
avg_prec10 /= tests;
avg_inver10 /= tests;
avg_invers_all /= tests;
cout << samples << "," << avg_prec10 << "," << avg_inver10 << ","
<< avg_invers_all << endl;
}
return 0;
}