Awesome.

Should I submit a jira ticket for this?

On Tue, Dec 1, 2020 at 12:11 PM Gilles Sadowski <gillese...@gmail.com>
wrote:

> Hello.
>
> Le mar. 1 déc. 2020 à 01:42, Marko Malenic <mmalen...@gmail.com> a écrit :
> >
> >  Hi,
> >
> > I'm a bit new to all this stuff, so bear with me while I ask some
> questions
> > :)
> >
> > There's a few ways to do this.
> >
> > In terms of number generation, there's a few algorithms, some of which at
> > described at:
> >
> https://en.wikipedia.org/wiki/Truncated_normal_distribution#Computational_methods
> > Any preferences on how to generate the numbers?
> >
> > I noticed sampling is split off to commons rng.
> > Should another sampler be added, depending on the algorithm?
> > Or maybe just using inverse transform sampling would be okay.
>
> Some of the implemented distributions use the inverse transform.
> It's fine and sane to not do everything at once. ;-)
>
> Indeed, if you implement another sampler, it must go into the
> "sampling" module of "Commons RNG", reusing functionality
> already implemented there (if applicable).
>
> Regards,
> Gilles
>
> > [...]
>
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