Okay, thanks! 3rd party it is.
On Mon, Jan 20, 2020, 10:54 AM Robert Kern wrote:
> On Tue, Jan 21, 2020 at 12:37 AM Michael Lance
> wrote:
>
>> Hi Ralf,
>>
>> These are functions that generate data sets when invoked, like Numpy
>> already does with mathematical distributions.
>>
>
> It's somet
On Tue, Jan 21, 2020 at 12:37 AM Michael Lance
wrote:
> Hi Ralf,
>
> These are functions that generate data sets when invoked, like Numpy
> already does with mathematical distributions.
>
It's something of a judgement call. These distribution functions are
defined by tables. The most efficient w
Hi Ralf,
These are functions that generate data sets when invoked, like Numpy
already does with mathematical distributions.
On Sat, Jan 18, 2020, 12:32 PM Ralf Gommers wrote:
>
>
> On Fri, Jan 17, 2020 at 3:46 AM Michael Lance
> wrote:
>
>> TLDR;
>> I think this could be a useful contributi
On Fri, Jan 17, 2020 at 3:46 AM Michael Lance
wrote:
> TLDR;
> I think this could be a useful contribution to NumPy, but I want to get
> feedback on where it should go (either in NumPy or elsewhere).
> I have functions using numpy.random which invoke the 8 "Real" data sets as
> estimated by Ted M
TLDR;
I think this could be a useful contribution to NumPy, but I want to get
feedback on where it should go (either in NumPy or elsewhere).
I have functions using numpy.random which invoke the 8 "Real" data sets as
estimated by Ted Micceri in 1989. These can be useful in Monte Carlo
simulations.
