Am 30.10.21 um 21:01 schrieb Allin Cottrell:
On Sat, 30 Oct 2021, Artur T. wrote:
> Of course, the order does not matter. However, that's why I asked
> whether there exists a de facto standard. I simply tried to show what
> sklearn (a de facto standard for data science) returns. By the way,
> the "Distances" package for Julia behaves like sklearn. Why not follow
> those packages which may make it easier for users to adapt to gretl?
Ah, but wait a minute: Julia requires that the inputs be transposed
(relative to our implementation) and I for one don't like that much. In
gretl each row of X and Y is an observation and each column a dimension,
so the number of columns must match. In Julia it's the number of rows
that must match, so implicitly we have observations in columns,
dimensions in rows.
Hi Allin,
Your latest push on git make things in line with sklearn. At least my
original unit-tests work fine now.
Thanks,
Artur