int main(int argc, char **argv)
{
fflush(stdout);
fprintf(stdout, "\nProgram that executes the training phase of the OPF classifier with knn adjacency\n");
fprintf(stdout, "\nIf you have any problem, please contact: ");
fprintf(stdout, "\n- [email protected]");
fprintf(stdout, "\n- [email protected]\n");
fprintf(stdout, "\nLibOPF version 2.0 (2009)\n");
fprintf(stdout, "\n");
fflush(stdout);
if ((argc != 5) && (argc != 4))
{
fprintf(stderr, "\nusage opf_train <P1> <P2>");
fprintf(stderr, "\nP1: training set in the OPF file format");
fprintf(stderr, "\nP2: evaluating set in the OPF file format (used to learn k)");
fprintf(stderr, "\nP3: kmax");
fprintf(stderr, "\nP4: precomputed distance file (leave it in blank if you are not using this resource)\n");
exit(-1);
}
int n, i, kmax = atoi(argv[3]);
char fileName[256];
FILE *f = NULL;
timer tic, toc;
double time;
if (argc == 5)
opf_PrecomputedDistance = 1;
fprintf(stdout, "\nReading data file ...");
fflush(stdout);
Subgraph *Train = ReadSubgraph(argv[1]);
Subgraph *Eval = ReadSubgraph(argv[2]);
fprintf(stdout, " OK");
fflush(stdout);
if (opf_PrecomputedDistance)
opf_DistanceValue = opf_ReadDistances(argv[4], &n);
fprintf(stdout, "\nTraining OPF classifier ...");
fflush(stdout);
gettimeofday(&tic, NULL);
opf_OPFknnTraining(Train, Eval, kmax);
gettimeofday(&toc, NULL);
fprintf(stdout, " OK");
fflush(stdout);
fprintf(stdout, "\nWriting classifier's model file ...");
fflush(stdout);
opf_WriteModelFile(Train, "classifier.opf");
fprintf(stdout, " OK");
fflush(stdout);
fprintf(stdout, "\nWriting output file ...");
fflush(stdout);
sprintf(fileName, "%s.out", argv[1]);
f = fopen(fileName, "w");
for (i = 0; i < Train->nnodes; i++)
fprintf(f, "%d\n", Train->node[i].label);
fclose(f);
fprintf(stdout, " OK");
fflush(stdout);
fprintf(stdout, "\nDeallocating memory ...");
fflush(stdout);
DestroySubgraph(&Train);
DestroySubgraph(&Eval);
if (opf_PrecomputedDistance)
{
for (i = 0; i < n; i++)
free(opf_DistanceValue[i]);
free(opf_DistanceValue);
}
fprintf(stdout, " OK\n");
time = ((toc.tv_sec - tic.tv_sec) * 1000.0 + (toc.tv_usec - tic.tv_usec) * 0.001) / 1000.0;
fprintf(stdout, "\nTraining time: %f seconds\n", time);
fflush(stdout);
sprintf(fileName, "%s.time", argv[1]);
f = fopen(fileName, "a");
fprintf(f, "%f\n", time);
fclose(f);
return 0;
}
int main(int argc, char **argv){
fflush(stdout);
fprintf(stdout, "\nProgram that executes the training and classification phase of the OPF classifier\n");
fprintf(stdout, "\nIf you have any problem, please contact: ");
fprintf(stdout, "\n- [email protected]");
fprintf(stdout, "\n- [email protected]\n");
fprintf(stdout, "\nLibOPF version 2.0 (2009)\n");
fprintf(stdout, "\n"); fflush(stdout);
if((argc != 3) && (argc != 2)){
fprintf(stderr, "\nusage opf_train_and_classify <P1> <P2> <P3>");
fprintf(stderr, "\nP1: training set in the OPF file format");
fprintf(stderr, "\nP2: test set in the OPF file format");
fprintf(stderr, "\nP3: precomputed distance file (leave it in blank if you are not using this resource)\n");
exit(-1);
}
int n, i;
char fileName[256];
FILE *f = NULL;
timer tic, toc,ticC,tocC;
float time, timeC;
if(argc == 4) opf_PrecomputedDistance = 1;
fprintf(stdout, "\nReading data file ..."); fflush(stdout);
Subgraph *g = ReadSubgraph(argv[1]);
Subgraph *gTest = ReadSubgraph(argv[1]);
fprintf(stdout, " OK"); fflush(stdout);
if(opf_PrecomputedDistance)
opf_DistanceValue = opf_ReadDistances(argv[3], &n);
fprintf(stdout, "\nTraining OPF classifier ..."); fflush(stdout);
gettimeofday(&tic,NULL); opf_OPFTraining(g); gettimeofday(&toc,NULL);
fprintf(stdout, " OK"); fflush(stdout);
fprintf(stdout, "\nClassifying test set ..."); fflush(stdout);
gettimeofday(&ticC,NULL);
opf_OPFClassifying(g, gTest); gettimeofday(&tocC,NULL);
fprintf(stdout, " OK"); fflush(stdout);
fprintf(stdout, "\nWriting classifier's model file ..."); fflush(stdout);
opf_WriteModelFile(g, "classifier.opf");
fprintf(stdout, " OK"); fflush(stdout);
fprintf(stdout, "\nWriting output file ..."); fflush(stdout);
sprintf(fileName,"%s.out",argv[1]);
f = fopen(fileName,"w");
for (i = 0; i < g->nnodes; i++)
fprintf(f,"%d\n",g->node[i].label);
fclose(f);
fprintf(stdout, " OK"); fflush(stdout);
fprintf(stdout, "\nDeallocating memory ..."); fflush(stdout);
DestroySubgraph(&g); DestroySubgraph(&gTest);
if(opf_PrecomputedDistance){
for (i = 0; i < n; i++)
free(opf_DistanceValue[i]);
free(opf_DistanceValue);
}
fprintf(stdout, " OK\n");
time = ((toc.tv_sec-tic.tv_sec)*1000.0 + (toc.tv_usec-tic.tv_usec)*0.001)/1000.0;
fprintf(stdout, "\nTraining time: %f seconds\n", time); fflush(stdout);
timeC = ((tocC.tv_sec-ticC.tv_sec)*1000.0 + (tocC.tv_usec-ticC.tv_usec)*0.001)/1000.0;
fprintf(stdout, "\nTesting time: %f seconds\n", time); fflush(stdout);
sprintf(fileName,"%s.time",argv[1]);
f = fopen(fileName,"a");
fprintf(f,"%f,%f\n",time,timeC);
fclose(f);
return 0;
}
