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.
Allin