ex-7: add pre-trained mode

This commit is contained in:
Michele Guerini Rocco 2020-03-07 01:50:09 +00:00
parent 313363c707
commit 7daefc590a
2 changed files with 36 additions and 16 deletions

View File

@ -9,6 +9,8 @@ struct options {
size_t nsig;
size_t nnoise;
int iter;
int trained;
double weights[3];
};
@ -19,6 +21,7 @@ int main(int argc, char **argv) {
opts.nsig = 800;
opts.nnoise = 1000;
opts.iter = 5;
opts.trained = 0;
/* Process CLI arguments */
for (size_t i = 1; i < argc; i++) {
@ -26,13 +29,20 @@ int main(int argc, char **argv) {
else if (!strcmp(argv[i], "-s")) opts.nsig = atol(argv[++i]);
else if (!strcmp(argv[i], "-n")) opts.nnoise = atol(argv[++i]);
else if (!strcmp(argv[i], "-i")) opts.nnoise = atoi(argv[++i]);
else if (!strcmp(argv[i], "-w")) {
opts.trained = 1;
for (int j = 0; j < 3; j++)
opts.weights[j] = atof(argv[++i]);
}
else {
fprintf(stderr, "Usage: %s -[hiIntp]\n", argv[0]);
fprintf(stderr, "\t-h\tShow this message.\n");
fprintf(stderr, "\t-m MODE\tThe disciminant to use: 'fisher' for "
fprintf(stderr, "Usage: %s -[hminw]\n", argv[0]);
fprintf(stderr, " -h\t\tShow this message.\n");
fprintf(stderr, " -m MODE\tThe training mode to use: 'fisher' for \n\t\t"
"Fisher linear discriminant, 'percep' for perceptron.\n");
fprintf(stderr, "\t-i N\tThe number of training iterations (for perceptron).\n");
fprintf(stderr, "\t-n N\tThe number of events in noise class.\n");
fprintf(stderr, " -i N\t\tThe number of training iterations "
"(for perceptron only).\n");
fprintf(stderr, " -n N\t\tThe number of events in noise class.\n");
fprintf(stderr, " -w W₁ W₂ B\tSet weights and bias (if pre-trained).\n");
return EXIT_FAILURE;
}
}
@ -52,9 +62,19 @@ int main(int argc, char **argv) {
sample_t *noise = generate_normal(r, opts.nnoise, &par_noise);
gsl_vector *w;
double t_cut;
double cut;
if (!strcmp(opts.mode, "fisher")) {
if (opts.trained) {
/* Pre-trained
*
* Use the provided weigths and bias.
*/
fputs("# Pre-trained \n\n", stderr);
gsl_vector_view v = gsl_vector_view_array(opts.weights, 2);
w = &v.vector;
cut = opts.weights[2];
}
else if (!strcmp(opts.mode, "fisher")) {
/* Fisher linear discriminant
*
* First calculate the direction w onto
@ -65,7 +85,7 @@ int main(int argc, char **argv) {
fputs("# Linear Fisher discriminant\n\n", stderr);
double ratio = opts.nsig / (double)opts.nnoise;
w = fisher_proj(signal, noise);
t_cut = fisher_cut(ratio, w, signal, noise);
cut = fisher_cut(ratio, w, signal, noise);
}
else if (!strcmp(opts.mode, "percep")) {
/* Perceptron
@ -75,7 +95,7 @@ int main(int argc, char **argv) {
* solution in `iter` iterations.
*/
fputs("# Perceptron \n\n", stderr);
w = percep_train(signal, noise, opts.iter, &t_cut);
w = percep_train(signal, noise, opts.iter, &cut);
}
else {
fputs("\n\nerror: invalid mode. select either"
@ -89,9 +109,9 @@ int main(int argc, char **argv) {
fprintf(stderr, "* w: [%.3f, %.3f]\n",
gsl_vector_get(w, 0),
gsl_vector_get(w, 1));
fprintf(stderr, "* t_cut: %.3f\n", t_cut);
fprintf(stderr, "* cut: %.3f\n", cut);
gsl_vector_fprintf(stdout, w, "%g");
printf("%f\n", t_cut);
printf("%f\n", cut);
/* Print data to stdout for plotting.
* Note: we print the sizes to be able

View File

@ -24,7 +24,7 @@ ex-5/bin/%: ex-5/%.c
ex-6/bin/main: ex-6/rl.c ex-6/fft.c
$(CCOMPILE)
ex-7/bin/main: ex-7/main.c ex-7/common.c ex-7/fisher.c
ex-7/bin/main: ex-7/main.c ex-7/common.c ex-7/fisher.c ex-7/percep.c
$(CCOMPILE)
misc/pdfs: misc/pdfs.c