使用 1 和 0 C++ 创建随机 std::vector

Creating a random std::vector with ones and zeros C++

我想按我设置的比例创建一个随机 1 和 0 的向量(在我称之为 dropout 的程序中)该向量与之前创建的向量 CSUM 的大小相同。

在 MATLAB 中它将是

dropout=0.9;
n_elements=size(CSUM)
drpoutmask = (rand(n_elements) > dropout); 

在 C++ 中我有

size_t elements = Csum.size();
std::vector<float> y(elements);
std::uniform_real_distribution<float> distribution(0.0f, 1.0f); 
std::mt19937 engine; // Mersenne twister MT19937
auto generator = std::bind(distribution, engine);
std::generate_n(y.begin(), elements, generator);
std::vector<int> dropoutmask(elements,0);
float dropout=0.9;

for(int i=0; i<elements; i++)
  {
  if(y.at(i)>dropout)
    {
    dropoutmask.at(i)=1;
    }
  }
}

哪个有效,但是对于巨大的向量来说非常非常慢,有没有更快的方法来做到这一点?我是 C++ 的新手。

任何帮助将不胜感激

  1. 你确实知道 bernoulli distribution,对吧?您可以使用它直接生成整数向量。
    示例:

    #include <iostream>
    #include <algorithm>
    #include <string>
    #include <random>
    
    int main()
    {
        constexpr double dropout = 0.9; // Chance of 0
        constexpr size_t size = 1000;
        std::random_device rd;
        std::mt19937 gen(rd());
        std::bernoulli_distribution dist(1 - dropout); // bernoulli_distribution takes chance of true n constructor
    
        std::vector<int> dropoutmask(size);
        std::generate(dropoutmask.begin(), dropoutmask.end(), [&]{ return dist(gen); });
        size_t ones = std::count(dropoutmask.begin(), dropoutmask.end(), 1);
        std::cout << "vector contains " << ones << " 1's, out of " << size << ". " << ones/double(size) << "%\n";
        std::cout << "vector contains " << size - ones << " 0's, out of " << size << ". " << (size - ones)/double(size) << "%\n";
    }
    

    实例:http://coliru.stacked-crooked.com/a/a160743185ded5c5

  2. 或者,您可以创建一个所需大小的整数向量(这会将所有元素设置为 0),将前 N 个元素设置为 1,其中 n 是 (1 - dropout) * size(你说你想要一个比例,而不是接近比例的随机数量)然后随机播放向量。

    #include <iostream>
    #include <algorithm>
    #include <string>
    #include <random>
    
    int main()
    {
        constexpr double dropout = 0.9; // Chance of 0
        constexpr size_t size = 77;
        std::random_device rd;
        std::mt19937 gen(rd());
    
        std::vector<int> dropoutmask(size);
        std::fill_n(dropoutmask.begin(), dropoutmask.size() * (1 - dropout), 1);
        std::shuffle(dropoutmask.begin(), dropoutmask.end(), gen);
    
        size_t ones = std::count(dropoutmask.begin(), dropoutmask.end(), 1);
        std::cout << "vector contains " << ones << " 1's, out of " << size << ". " << ones/double(size) << "%\n";
        std::cout << "vector contains " << size - ones << " 0's, out of " << size << ". " << (size - ones)/double(size) << "%\n";
    
        for (auto i :dropoutmask) {
            std::cout << i << ' ';   
        }
        std::cout << '\n';
    }
    

实例:http://coliru.stacked-crooked.com/a/0a9dacd7629e1605