void CrossValidation::k10folder(const char* folder_path)
{
//split samples to 10 folder
std::vector<Matrix<float>> folder_10_samples(10); //sample matrix in every folder
std::vector<Matrix<float>> folder_10_labels(10); //label matrix in every folder
std::vector<int> folder_10_num(10); //sample number in every folder
std::vector<std::vector<int>> folder_10_index(10); //sample index in every folder
int samples_num = m_samples.rows(); //total sample number
int samples_dim = m_samples.cols(); //sample dimension
//finding sample index with different label
std::map<int,std::vector<int>> labels_map;
for (int i = 0; i < samples_num; ++i)
{
int label = int(m_labels(i,0));
labels_map[label].push_back(i);
}
//total labels number
int total_labels_num = labels_map.size();
//disturb sample order in different label by using shuffling algorithm
if (m_disturb_order_flag)
{
for (int label_index = 0; label_index < total_labels_num; ++label_index)
{
std::vector<int> order_index_vec = labels_map[label_index];
//shuffling
shuffling(order_index_vec);
//now,it's unordered
labels_map[label_index] = order_index_vec;
}
}
//finding sample index in every folder
for (int label_index = 0; label_index < total_labels_num; ++label_index)
{
int num_in_label = labels_map[label_index].size();
std::vector<int> samples_index_in_label = labels_map[label_index];
//10 folder
for (int i = 0; i < 10; ++i)
{
int select_index = i;
while(select_index < num_in_label)
{
folder_10_index[i].push_back(samples_index_in_label[select_index]);
select_index += 10;
}
}
}
//compute number in every folder
for (int i = 0; i < 10; ++i)
{
folder_10_num[i] = folder_10_index[i].size();
}
//copy data to folder
for (int i = 0; i < 10; ++i)
{
int samples_num_in_folder = folder_10_index[i].size();
folder_10_samples[i] = Matrix<float>(samples_num_in_folder,samples_dim);
folder_10_labels[i] = Matrix<float>(samples_num_in_folder,1);
int count = 0;
while(count < samples_num_in_folder)
{
int sample_index = folder_10_index[i][count];
folder_10_samples[i](Range(count,count + 1),Range(0,samples_dim)).copy(m_samples(Range(sample_index,sample_index + 1),Range(0,samples_dim)));
folder_10_labels[i](count) = m_labels(sample_index,0);
count++;
}
}
//training
for (int pick_index = 0; pick_index < 10; ++pick_index)
{
//finding samples number
int num = 0;
for (int i = 0; i < 10; ++i)
if (i != pick_index)
num += folder_10_num[i];
Matrix<float> training_samples(num,samples_dim);
Matrix<float> training_labels(num,1);
//using 9 folders to learn
int count = 0;
for (int i = 0; i < 10; ++i)
{
if (i != pick_index)
{
training_samples(Range(count,count + folder_10_num[i]),Range(0,samples_dim)).copy(folder_10_samples[i]);
training_labels(Range(count,count + folder_10_num[i]),Range(0,1)).copy(folder_10_labels[i]);
count += folder_10_num[i];
}
}
//check
if (m_dummy_learner == NULL)
{
EAGLEEYE_ERROR("learner is NULL\n");
return;
}
//learning
m_dummy_learner->learn(training_samples,training_labels);
//evaluation
float error = m_dummy_learner->evalution(folder_10_samples[pick_index],folder_10_labels[pick_index]);
m_average_error += error;
if (m_optimum_error > error)
{
m_optimum_error = error;
m_optimum_index = pick_index;
}
if (m_maximum_error < error)
m_maximum_error = error;
if (folder_path)
{
char str[100];
std::string model_name = itoa(pick_index,str,10);
m_dummy_learner->save((std::string(folder_path) + model_name).c_str());
}
}
m_average_error /= 10.0f;
//write file
FILE* fp = fopen((std::string(folder_path) + "cross_validation.dat").c_str(),"wt+");
print_info(fp," optimum error %f\n average error %f\n max error %f\n optimum model index %d",m_optimum_error,m_average_error,m_maximum_error,m_optimum_index);
fclose(fp);
}
int main()
{
printf("Welcome\n\n");
printf("是否開始遊戲?\n 1.是 開始遊戲\n 2.否 離開遊戲\n\n");
int choice, i, j;
printf("選擇(請輸入1或2): ");
while(EOF!=scanf("%d", &choice))
{
printf("\n\n");
if(choice==2)
{
printf("\nSee you next time\n");
break;
}
else if(choice==1)
{
srand(time(NULL));
int round;
for(round=0; round<5; round++)
{
printf("#round %d\n\n", (round+1));
printf("玩家手牌:\n");
shuffling(2);
for(i=0; i<5; i++)
{
for(j=0; j<13; j++)
{
hand_player1[i][j]=temp_card[i][j];
}
}
for(i=0; i<5; i++)
{
for(j=0; j<13; j++)
{
temp_card[i][j]=0;
}
}
printf("對手手牌:\n");
shuffling(2);
for(i=0; i<5; i++)
{
for(j=0; j<13; j++)
{
hand_player2[i][j]=temp_card[i][j];
}
}
for(i=0; i<5; i++)
{
for(j=0; j<13; j++)
{
temp_card[i][j]=0;
}
}
printf("公牌:\n");
shuffling(5);
for(i=0; i<5; i++)
{
for(j=0; j<13; j++)
{
shared_card[i][j]=temp_card[i][j];
}
}
for(i=0; i<5; i++)
{
for(j=0; j<13; j++)
{
temp_card[i][j]=0;
}
}
for(i=0; i<5; i++)
{
for(j=2; j<13; j++)
{
hand_player1[i][j]=shared_card[i][j-2];
}
}
for(i=0; i<5; i++)
{
for(j=2; j<13; j++)
{
hand_player2[i][j]=shared_card[i][j-2];
}
}
int hand_player1_temp[14],hand_player2_temp[14];
int k=0;
for(i=0; i<13; i++)
{
for(j=0; j<5; j++)
{
if(hand_player1[j][i]!=0)
{
hand_player1_temp[k]=hand_player1[j][i];
k++;
}
}
}
k=0;
for(i=0; i<13; i++)
{
for(j=0; j<5; j++)
{
if(hand_player2[j][i]!=0)
{
hand_player2_temp[k]=hand_player2[j][i];
k++;
}
}
}
bubblesort(hand_player1_temp);
bubblesort(hand_player2_temp);
printf("\n\n");
printf("玩家手牌加公牌(已排序):\n");
for(i=0; i<14; i++)
{
printf("%c",hand_player1_temp[i]);
if(i!=0&&i%2==1)
printf(" ");
}
printf("\n\n");
printf("對手手牌加公牌(已排序):\n");
for(i=0; i<14; i++)
{
printf("%c",hand_player2_temp[i]);
if(i!=0&&i%2==1)
printf(" ");
}
printf("\n\n");
int a,b;
printf("玩家:");
a=deal_card(hand_player1_temp);
printf("對手:");
b=deal_card(hand_player2_temp);
if(a<b)
{
printf("對手 win!!\n");
}
else if(a>b)
{
printf("玩家 win!!\n");
}
else if(a==b)
{
printf("平手\n");
}
system("pause");
printf("\n\n");
printf("***************************************");
printf("\n\n");
for(i=0; i<5; i++)
{
for(j=0; j<13; j++)
{
hand_player1[i][j]=0;
}
}
for(i=0; i<5; i++)
{
for(j=0; j<13; j++)
{
hand_player2[i][j]=0;
}
}
for(i=0; i<5; i++)
{
for(j=0; j<13; j++)
{
shared_card[i][j]=0;
}
}
for(i=0; i<5; i++)
{
for(j=0; j<13; j++)
{
temp_card[i][j]=0;
}
}
}
}
printf("==SEE YOU NEXT TIME==\n\n");
break;
}
}
