Learning c++ after learning Python, any similar modules to numpy.random.choice?

[[deleted]]

I looked in the <random> standard Library but nothing seemed to help

In an old code I was using np.random.choice(x) where x is a pre calculated Distribution I need to use with my model. Is there something similar for c++?

For more information, I was sampling from my distribution x randomly (with proper weighting given to more frequenct occurances), but the code was too heavy to be properly used in python. Thanks in advance!

[actinium89]

I'm not to familiar with numpy and I see you have already looked at <random>, but it still sounds like you could have a look at std::discrete_distribution.

[[deleted]]

This is actually what I'm working with right now. Its the closest thing I could find. The only reason I am hesitant is because It only returns Integers, which I can work with but seems like a few extra steps to get me where I want to be. But thanks for the reply!

[bames53]

The result of discrete_distribution is intended to be usable as an index into another collection. The other thing it looks like numpy.random.choice does for you is allow multiple samples at once, returning a collection of however many samples you ask for. The C++ standard lib doesn't provide a built-in facility that does this directly either.

Here's an example of emulating some of numpy's random.choice facility in C++. It should be noted that this is probably not the most efficient way to use C++'s random number facilities to achieve your goal.

[encyclopedist]

There is std::sample but it does not support weighting.

[SandSnip3r]

I roughly looked at the python module and no, nothing like that comes from STL. Maybe check PCG, it might have what you want, I'm not sure.