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readPokerHand.c
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readPokerHand.c
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/*
* readPokerHand.c
*
* Sáskya Gurgel, 2012-04-06
*
*/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "mlpnnets.h"
#define TRUE 1
#define FALSE 0
#define SEED 631814
#define EPOCHS 7000
#define LEARNING_RATE 0.003
#define MAX(a, b) (a >= b? a : b)
typedef enum tagClass {
Nothing_in_hand,
One_Pair,
Two_pairs,
Three_of_a_kind,
Straight,
Flush,
Full_house,
Four_of_a_kind,
Straight_flush,
Royal_flush
} Class;
DataSet* read_dataset(char *filename)
{
FILE *f;
int done = FALSE, i, j;
double S1, C1, S2, C2, S3, C3, S4, C4, S5, C5, CLASS;
DataSet *dset;
char buffer[140];
dset = (DataSet*) malloc(sizeof(DataSet));
if (dset == NULL) {
fprintf(stderr, "Could not allocate memory\n");
return NULL;
}
f = fopen(filename, "r");
if (f == NULL) {
fprintf(stderr, "File not found: %s\n", filename);
free(dset);
return NULL;
}
// count lines in file to allocate dataset arrays
i = 0;
while (fgets(buffer, 140, f) != NULL)
++i;
if (!feof(f) || ferror(f)) {
fprintf(stderr, "IO error while reading from file\n");
free(dset);
fclose(f);
return NULL;
}
fseek(f, 0, SEEK_SET);
// prepare dataset
dset->n_cases = i;
dset->input_size = 10;
dset->output_size = 10;
allocate_dataset_arrays(dset);
i = 0;
while (!done) {
j = fscanf(f, "%lf, %lf, %lf, %lf, %lf, %lf, %lf, %lf, %lf, %lf, %lf \n",
&S1, &C1, &S2, &C2, &S3, &C3, &S4, &C4, &S5, &C5, &CLASS);
/* printf("%lf, %lf, %lf, %lf, %lf, %lf, %lf, %lf, %lf, %lf, %lf \n",
S1, C1, S2, C2, S3, C3, S4, C4, S5, C5, CLASS);*/
if (j != 11)
done = TRUE;
else {
dset->input[i][0] = S1;
dset->input[i][1] = C1;
dset->input[i][2] = S2;
dset->input[i][3] = C2;
dset->input[i][4] = S3;
dset->input[i][5] = C3;
dset->input[i][6] = S4;
dset->input[i][7] = C4;
dset->input[i][8] = S5;
dset->input[i][9] = C5;
if (CLASS==0) {
dset->output[i][0] = 0.9;
dset->output[i][1] = 0.1;
dset->output[i][2] = 0.1;
dset->output[i][3] = 0.1;
dset->output[i][4] = 0.1;
dset->output[i][5] = 0.1;
dset->output[i][6] = 0.1;
dset->output[i][7] = 0.1;
dset->output[i][8] = 0.1;
dset->output[i][9] = 0.1;
} else if (CLASS==1) {
dset->output[i][0] = 0.1;
dset->output[i][1] = 0.9;
dset->output[i][2] = 0.1;
dset->output[i][3] = 0.1;
dset->output[i][4] = 0.1;
dset->output[i][5] = 0.1;
dset->output[i][6] = 0.1;
dset->output[i][7] = 0.1;
dset->output[i][8] = 0.1;
dset->output[i][9] = 0.1;
} else if (CLASS==2) {
dset->output[i][0] = 0.1;
dset->output[i][1] = 0.1;
dset->output[i][2] = 0.9;
dset->output[i][3] = 0.1;
dset->output[i][4] = 0.1;
dset->output[i][5] = 0.1;
dset->output[i][6] = 0.1;
dset->output[i][7] = 0.1;
dset->output[i][8] = 0.1;
dset->output[i][9] = 0.1;
} else if (CLASS==3) {
dset->output[i][0] = 0.1;
dset->output[i][1] = 0.1;
dset->output[i][2] = 0.1;
dset->output[i][3] = 0.9;
dset->output[i][4] = 0.1;
dset->output[i][5] = 0.1;
dset->output[i][6] = 0.1;
dset->output[i][7] = 0.1;
dset->output[i][8] = 0.1;
dset->output[i][9] = 0.1;
} else if (CLASS==4) {
dset->output[i][0] = 0.1;
dset->output[i][1] = 0.1;
dset->output[i][2] = 0.1;
dset->output[i][3] = 0.1;
dset->output[i][4] = 0.9;
dset->output[i][5] = 0.1;
dset->output[i][6] = 0.1;
dset->output[i][7] = 0.1;
dset->output[i][8] = 0.1;
dset->output[i][9] = 0.1;
} else if (CLASS==5) {
dset->output[i][0] = 0.1;
dset->output[i][1] = 0.1;
dset->output[i][2] = 0.1;
dset->output[i][3] = 0.1;
dset->output[i][4] = 0.1;
dset->output[i][5] = 0.9;
dset->output[i][6] = 0.1;
dset->output[i][7] = 0.1;
dset->output[i][8] = 0.1;
dset->output[i][9] = 0.1;
} else if (CLASS==6) {
dset->output[i][0] = 0.1;
dset->output[i][1] = 0.1;
dset->output[i][2] = 0.1;
dset->output[i][3] = 0.1;
dset->output[i][4] = 0.1;
dset->output[i][5] = 0.1;
dset->output[i][6] = 0.9;
dset->output[i][7] = 0.1;
dset->output[i][8] = 0.1;
dset->output[i][9] = 0.1;
} else if (CLASS==7) {
dset->output[i][0] = 0.1;
dset->output[i][1] = 0.1;
dset->output[i][2] = 0.1;
dset->output[i][3] = 0.1;
dset->output[i][4] = 0.1;
dset->output[i][5] = 0.1;
dset->output[i][6] = 0.1;
dset->output[i][7] = 0.9;
dset->output[i][8] = 0.1;
dset->output[i][9] = 0.1;
} else if (CLASS==8) {
dset->output[i][0] = 0.1;
dset->output[i][1] = 0.1;
dset->output[i][2] = 0.1;
dset->output[i][3] = 0.1;
dset->output[i][4] = 0.1;
dset->output[i][5] = 0.1;
dset->output[i][6] = 0.1;
dset->output[i][7] = 0.1;
dset->output[i][8] = 0.9;
dset->output[i][9] = 0.1;
} else {
dset->output[i][0] = 0.1;
dset->output[i][1] = 0.1;
dset->output[i][2] = 0.1;
dset->output[i][3] = 0.1;
dset->output[i][4] = 0.1;
dset->output[i][5] = 0.1;
dset->output[i][6] = 0.1;
dset->output[i][7] = 0.1;
dset->output[i][8] = 0.1;
dset->output[i][9] = 0.9;
}
++i;
}
}
fclose(f);
return dset;
}
void print_dataset(DataSet *dset)
{
int i, j;
printf("Number of cases: %d\n", dset->n_cases);
for (i = 0; i < dset->n_cases; ++i) {
for (j = 0; j < dset->input_size; ++j)
printf("%3.2f ", dset->input[i][j]);
printf(" | ");
for (j = 0; j < dset->output_size; ++j)
printf("%3.2f ", dset->output[i][j]);
printf("\n");
}
}
Class output_to_class(double *output)
{
double max;
max = MAX(output[0], MAX(output[1], MAX(output[2], MAX(output[3], MAX(output[4], MAX(output[5], MAX(output[6], MAX(output[7], MAX(output[8], output[9])))))))));
if (output[0] == max)
return Nothing_in_hand;
else if (output[1] == max)
return One_Pair;
else if (output[2] == max)
return Two_pairs;
else if (output[3] == max)
return Three_of_a_kind;
else if (output[4] == max)
return Straight;
else if (output[5] == max)
return Flush;
else if (output[6] == max)
return Full_house;
else if (output[7] == max)
return Four_of_a_kind;
else if (output[8] == max)
return Straight_flush;
return Royal_flush;
}
Class predict_class(Network *nnet, double *input)
{
forward_prop(nnet, sigmoid, input);
return output_to_class(nnet->output_layer->y);
}
char *n0 = "0 - Nothing in hand";
char *n1 = "1 - One Pair ";
char *n2 = "2 - Two pairs";
char *n3 = "3 - Three of a kind";
char *n4 = "4 - Straight";
char *n5 = "5 - Flush";
char *n6 = "6 - Full house";
char *n7 = "7 - Four of a kind";
char *n8 = "8 - Straight flush";
char *n9 = "9 - Royal flush";
char *class_to_string(Class c)
{
char *res;
switch(c) {
case Nothing_in_hand:
res = n0;
break;
case One_Pair:
res = n1;
break;
case Two_pairs:
res = n2;
break;
case Three_of_a_kind:
res = n3;
break;
case Straight:
res = n4;
break;
case Flush:
res = n5;
break;
case Full_house:
res = n6;
break;
case Four_of_a_kind:
res = n7;
break;
case Straight_flush:
res = n8;
break;
default:
res = n9;
}
return res;
}
int main(int argc, char **argv)
{
int i;
int errors;
DataSet *train_set;
DataSet *test_set;
Network *poker_hand = create_network(14);
double e;
double acc;
Class predicted, desired;
// training
train_set = read_dataset("poker-hand.train");
if (train_set == NULL) {
fprintf(stderr, "Error reading training set\n");
exit(1);
}
add_layer(poker_hand, 25); // hidden layer
add_layer(poker_hand, 10); // output layer
initialize_weights(poker_hand, SEED);
print_network_structure(poker_hand);
printf("Training network with %d epochs...\n", EPOCHS);
e = batch_train(poker_hand, train_set, LEARNING_RATE, EPOCHS,
sigmoid, dsigmoid);
printf("Training finished, approximate final SSE: %f\n", e);
print_network_structure(poker_hand);
// testing
test_set = read_dataset("poker-hand.test");
if (test_set == NULL) {
fprintf(stderr, "Error reading test set\n");
exit(1);
}
errors = 0;
printf("Testing with %d cases...\n", test_set->n_cases);
for (i = 0; i < test_set->n_cases; ++i) {
predicted = predict_class(poker_hand, test_set->input[i]);
desired = output_to_class(test_set->output[i]);
if (predicted != desired)
++errors;
/*printf("Case %d | predicted: %s, desired: %s, outputs: %4.3f %4.3f \n", i,
class_to_string(predicted), class_to_string(desired),
poker_hand->output_layer->y[0], poker_hand->output_layer->y[1]);*/
}
acc = 100.0 - (100.0 * errors / test_set->n_cases);
printf("Testing accuracy: %f\n", acc);
printf("Total classificarion errors: %d\n", errors);
system("pause");
return 0;
}