[scikit-learn] numpy.amin behaviour with multidimensionnal arrays

[Jacob Schreiber]

It means that instead of returning the minimum value anywhere in the entire
matrix, it will return the minimum value for each column or each row
depending on which axis you put in, so a vector instead of a scalar.

On Thu, Dec 29, 2016 at 6:00 AM, greg g <greg315 at hotmail.fr> wrote:

> Hi,
>
> I would like to understand the behaviour of the scipy.spatial.kdtree
> <http://aka.ms/weboutlook> class that uses numpy.amin function.
>
> In the numpy.amin description, we find that it returns the "minimum value
> along a given axis"
>
> What does it mean exactly ?
>
>
> Thanks for any help
>
> Gregory
>
>
>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20161229/c22d797b/attachment.html>