C++ (Cpp) Corpus::read_data Exemples

Exemple #1

Fichier : main.cpp Projet : aykutfirat/MedSTC-Mac

int main(int argc, char* argv[])
{
	seedMT( time(NULL) );

	if ( argc > 1 )
	{
		Corpus* c = new Corpus();
		Params param;

		param.read_settings( argv[5] ); //"settings.txt");
		param.NTOPICS    = atoi(argv[1]);
		param.INITIAL_C  = atof(argv[2]);
		param.LAMBDA     = atof(argv[3]);
		param.RHO        = atof(argv[4]);
		param.NFOLDS	 = 1;
		if ( argc > 6 ) param.NFOLDS     = atoi(argv[6]);
		if ( argc > 7 ) param.DELTA_ELL  = atof(argv[7]);

		c->read_data(param.train_filename, param.NLABELS);
		char dir[512];
		sprintf(dir, "s%d_c%d_f%d_s%d", param.NTOPICS, (int)param.INITIAL_C, 
			param.NFOLDS, param.SUPERVISED);
		mkdir(dir,0755);

		MedSTC model;
		model.train("random", dir, c, &param);

		// testing.
		Corpus *tstC = new Corpus();
		tstC->read_data(param.test_filename, param.NLABELS);
		MedSTC evlModel;
		double dAcc = evlModel.sparse_coding(dir, tstC, &param);
		printf("Accuracy: %.3f\n", dAcc);

		delete tstC;
		delete c;
	} else {
		printf("usage : MedSTC est [initial alpha] [k] [labels] [random/seeded/*] [directory]\n");
		printf("        MedSTC cv [foldnum] [foldix] [initial alpha] [k] [labels] [settings] [data] [random/seeded/*] [directory]\n");
		printf("        MedSTC inf [settings] [model] [data] [name]\n");
	}

	return 0;
}

Exemple #2

Fichier : main.cpp Projet : aacharya/DSLDA2

/*
* main
*/
int main(int argc, char* argv[])
{
	seedMT( time(NULL) );
	// seedMT(4357U);

	if (argc > 1)
	{
		Corpus* c = new Corpus();
		Params param;
		param.INNER_CV = true;
		if ( strcmp(argv[1], "estinf") == 0 ) {
			param.read_settings("settings.txt");
			param.NTOPICS = atoi(argv[2]);
			param.NLABELS = atoi(argv[3]);
			param.NFOLDS = atoi(argv[4]);
			param.INITIAL_C = atof(argv[5]);
			param.DELTA_ELL = atof(argv[6]);

			printf("K: %d, C: %.3f, Alpha: %d, svm: %d\n", param.NTOPICS, 
				param.INITIAL_C, param.ESTIMATE_ALPHA, param.SVM_ALGTYPE);

			c->read_data(param.train_filename, param.NLABELS);
			char dir[512];
			sprintf(dir, "20ng%d_c%d_f%d", param.NTOPICS, (int)param.INITIAL_C, param.NFOLDS);
			make_directory(dir);

			if ( param.INNER_CV ) {
				c->shuffle();

				char modelDir[512];
				sprintf(modelDir, "%s/innercv", dir);
				make_directory(modelDir);

				param.INITIAL_C = innerCV(modelDir, c, &param);
				printf("\n\nBest C: %f\n", param.INITIAL_C);
			}
			MedLDA model;
			model.run_em(argv[7], dir, c, &param);

			// testing.
			Corpus *tstC = new Corpus();
			tstC->read_data(param.test_filename, param.NLABELS);
			MedLDA evlModel;
			double dAcc = evlModel.infer(dir, tstC, &param);
			printf("Accuracy: %.3f\n", dAcc);
			delete tstC;
		}
		if ( strcmp(argv[1], "est") == 0 ) {
			param.read_settings("settings.txt");
			param.NTOPICS = atoi(argv[2]);
			param.NLABELS = atoi(argv[3]);
			param.NFOLDS = atoi(argv[4]);
			param.INITIAL_C = atof(argv[5]);
			param.DELTA_ELL = atof(argv[6]);

			c->read_data(param.train_filename, param.NLABELS);
			char dir[512];
			sprintf(dir, "%s%d_c%d_f%d", argv[7], param.NTOPICS, param.INITIAL_C, param.NFOLDS);
			make_directory(dir);

			if ( param.INNER_CV ) {
				c->shuffle();

				char modelDir[512];
				sprintf(modelDir, "%s/innercv", dir);
				make_directory(modelDir);

				param.INITIAL_C = innerCV(modelDir, c, &param);
				printf("\n\nBest C: %f\n", param.INITIAL_C);
			}
			MedLDA model;
			model.run_em(argv[8], dir, c, &param);
		}
		if (strcmp(argv[1], "inf")==0)
		{
			param.read_settings("settings.txt");
			param.NLABELS = atoi(argv[2]);
			c->read_data(param.test_filename, param.NLABELS);
			MedLDA model;
			double dAcc = model.infer(argv[3], c, &param);
			printf("Accuracy: %.3f\n", dAcc);
		}

		delete c;
	} else {
		printf("usage : MEDsLDAc estinf [k] [labels] [fold] [initial C] [l] [random/seeded/*]\n");
		printf("        MEDsLDAc est [k] [labels] [fold] [initial C] [l] [dir root] [random/seeded/*]\n");
		printf("        MEDsLDAc inf [labels] [model]\n");
	}
	return(0);
}