scipy.stats.uniform 的参数是什么? [英] What are the arguments for scipy.stats.uniform?

问题描述

我正在尝试在两个数字(下限和上限)之间创建均匀分布，以便将其提供给 sklearn 的 ParameterSampler.我正在使用 scipy.stats.uniform 格式如下:

I'm trying to create a uniform distribution between two numbers (lower bound and upper bound) in order to feed it to sklearn's ParameterSampler. I am using scipy.stats.uniform in the following format:

from scipy.stats import uniform    
params = ParameterSampler({'bandwidth':uniform(5,50)}, 20)

但是当我得到带宽"参数的随机选择时，它们并不都在 5 到 50 之间.其中一些比 50 大一点.所以我的问题是 scipy.stats.uniform 中的参数代表什么?它们不是下限和上限吗?文档没有显示任何参数，所以我无法从中弄清楚.

But when I get the random selections of the 'bandwidth' parameter, they are not all between 5 and 50. Some of them are bigger than 50 by a bit. So my question is what do the arguments in scipy.stats.uniform represent? Are they not a lower bound and upper bound? The documentation shows no arguments so I can't figure it out from that.

推荐答案

第一个参数是下限，第二个参数是分布的范围.因此，您问题中的示例分布在 5 到 55 之间是统一的.

The first argument is the lower bound, and the second argument is the range of the distribution. So the example distribution in your question is uniform between 5 and 55.

引自 文档 链接在您的问题中:

Quoting from the documentation linked in your question:

均匀连续随机变量.

这个分布在 loc 和 loc + scale 之间是恒定的.

This distribution is constant between loc and loc + scale.

loc 是第一个参数，scale 是第二个参数.

loc is the first argument and scale is the second argument.

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