void CharacterData::calculateStats()
{
if (train_size == 0) return;
CharacterData::resetStats();
for (const auto &it : train_data)
{
char x = it.first;
size_t it_size = it.second.size();
vector<int> sum(16, 0);
vector<double> sumDifference(16, 0);
for (int i = 0; i < it_size; i++)
for (int j = 0; j < it.second[i].size(); j++)
sum[j] += it.second[i][j];
for (const auto &s : sum)
stats.mean[x].push_back((double) s / it_size);
for (int i = 0; i < it_size; i++)
for (int j = 0; j < it.second[i].size(); j++)
sumDifference[j] += (it.second[i][j] - stats.mean[x][j]) * (it.second[i][j] - stats.mean[x][j]);
for (const auto &s : sumDifference)
stats.variance[x].push_back((double) s / it_size);
stats.frequence[x] = (double) it_size / train_size;
}
}
int main(int argc, char *argv[])
{
std::cout<<sumDifference(100)<<std::endl;
}
