Xtensor random :: randn返回的数字低于下限和上方的上限

发布于 2025-02-06 10:22:32 字数 489 浏览 3 评论 0 原文

我正在尝试生成随机数的形状{10}，范围在-0.5和0.5之间，

#include <iostream>
#include <xtensor/xio.hpp>
#include <xtensor/xrandom.hpp>

int main() {
    xt::xarray<double> a = xt::random::randn<double>({10}, -0.5, 0.5);
    std::cout << a;
    return 0;
}

但它返回一个数组

{-0.432735, -0.573191, -0.269675, -1.435692, -0.418144, -0.607127,
 -0.350702, -0.913972, -0.494892,  0.027733}

，其中-0.573191较小，-1.435692大于范围。

原文

I am trying to generate random numbers of shape {10} and range between -0.5 and 0.5

#include <iostream>
#include <xtensor/xio.hpp>
#include <xtensor/xrandom.hpp>

int main() {
    xt::xarray<double> a = xt::random::randn<double>({10}, -0.5, 0.5);
    std::cout << a;
    return 0;
}

but it's returning an array

{-0.432735, -0.573191, -0.269675, -1.435692, -0.418144, -0.607127,
 -0.350702, -0.913972, -0.494892,  0.027733}

where -0.573191 is smaller and -1.435692 is bigger than range

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浊酒尽余欢 2025-02-13 10:22:32

根据：

template<class T, class S, class E = random::default_engine_type>
auto xt::random::randn(const S& shape, T mean = 0, T std_dev = 1,
                       E& engine = random::get_default_random_engine())

该函数从您将平均值设置为 -0.5 ，标准偏差为 0.5 。这些不是下限和上限。

您可能需要使用函数：

template<class T, class S, class E = random::default_engine_type>
auto xt::random::rand(const S& shape, T lower = 0, T upper = 1,
                      E& engine = random::get_default_random_engine())

这是从 - 因此，它不是同一件事，但它具有较低和上限。

According to the documentation for randn:

template<class T, class S, class E = random::default_engine_type>
auto xt::random::randn(const S& shape, T mean = 0, T std_dev = 1,
                       E& engine = random::get_default_random_engine())

The function draws numbers from std::normal_distribution and you've set the mean value to be -0.5 and the standard deviation to be 0.5. These are not lower and upper bounds.

You may want to use the rand function instead:

template<class T, class S, class E = random::default_engine_type>
auto xt::random::rand(const S& shape, T lower = 0, T upper = 1,
                      E& engine = random::get_default_random_engine())

This draws numbers from std::uniform_real_distribution - so, it's not the same thing, but it has a lower and an upper bound.

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