2013/10/19 Gael Varoquaux :
> It shouldn't. Where did you see this?
git grep 'np\.linalg' turns up quite a few hits.
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On Sat, Oct 19, 2013 at 04:52:43PM +0200, Thomas Unterthiner wrote:
> I've noticed that sklearn uses numpy.linalg instead of scipy.linalg for its
> linear algebra implementations (e.g. dot or svd).
It shouldn't. Where did you see this?
G
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On 2013-10-19 17:36, Lars Buitinck wrote:
> 2013/10/19 Thomas Unterthiner :
>> I've noticed that sklearn uses numpy.linalg instead of scipy.linalg for its
>> linear algebra implementations (e.g. dot or svd). However I found that
>> scipy.linalg consistently performs better on my machines. Since skl
2013/10/19 Thomas Unterthiner :
> I've noticed that sklearn uses numpy.linalg instead of scipy.linalg for its
> linear algebra implementations (e.g. dot or svd). However I found that
> scipy.linalg consistently performs better on my machines. Since sklearn
> requires scipy anyways, I was wondering
Relatedly, I recently noticed
http://docs.scipy.org/doc/numpy/reference/routines.dual.html
On Saturday, October 19, 2013, Thomas Unterthiner wrote:
> Hi there!
>
> I've noticed that sklearn uses numpy.linalg instead of scipy.linalg for
> its linear algebra implementations (e.g. dot or svd). Ho
Hi there!
I've noticed that sklearn uses numpy.linalg instead of scipy.linalg for
its linear algebra implementations (e.g. dot or svd). However I found
that scipy.linalg consistently performs better on my machines. Since
sklearn requires scipy anyways, I was wondering what the reason is for
s
