Hello.

Le mar. 1 déc. 2020 à 06:02, Marko Malenic <mmalen...@gmail.com> a écrit :
>
> Awesome.
>
> Should I submit a jira ticket for this?

Yes.
https://issues.apache.org/jira/browse/STATISTICS

Regards,
Gilles

>
> 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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