CI_ASS2_Single Neuron Classification_C

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

// from http://stackoverflow.com/a/686373
float rand_weight (float min, float max) {
    return min + ((float) rand()) / ((float) (RAND_MAX / (max - min)));
}

int main() {

    srand(time(NULL));

    float sets[1000][3];
    float weights[3] = {
        rand_weight(-.001, .001),
        rand_weight(-.001, .001),
        rand_weight(-.001, .001)
    };

    float learning_rate = .001;

    float p0, p1;
    char desired_out[2];
    int count = 0;
    while (1) {
        scanf("%f,%f,%s\n", &p0, &p1, desired_out);
        if (p0 == 0 && p1 == 0 && desired_out[0] == '0') break;

        sets[count][0] = p0;
        sets[count][1] = p1;
        sets[count][2] = desired_out[0] == '+' ? 1 : -1;
        count++;
    }

    // The training process starts
    while (1) {
        int i;
        float old_weights[] = {weights[0], weights[1], weights[2]};
        //printf("Interation: %d\n", ++j);
        for (i = 0; i < count; i++) {
            float out   =  sets[i][0] * weights[0] + sets[i][1] * weights[1] + weights[2] >= 0 ? 1 : -1;
            float delta =  learning_rate * (sets[i][2] - out);

            weights[0] += delta * sets[i][0];
            weights[1] += delta * sets[i][1];
            weights[2] += delta;
        }
        //printf("Weights: %f, %f, %f\n", weights[0], weights[1], weights[2]);
        if (old_weights[0] == weights[0] && old_weights[1] == weights[1] && old_weights[2] == weights[2]) break;
    }

    while (scanf("%f,%f\n", &p0, &p1) != EOF) {
        char* out_str = p0 * weights[0] + p1 * weights[1] + weights[2] >= 0 ? "+1" : "-1";
        printf("%s\n", out_str);
    }

    return 0;
}