On 18 November 2011 09:31, Gael Varoquaux <[email protected]>wrote:
> On Fri, Nov 18, 2011 at 08:45:59AM +1100, Robert Layton wrote:
> > D = np.abs(X[:, np.newaxis, :] - Y[np.newaxis, :, :])
>
> > * what does putting np.newaxis do here?
>
> It adds an empty axis in the corresponding direction, so that
> broadcasting can work.
>
> This will never work on sparse matrices. If we want this function to work
> on sparse matrix, we will need to write code that is specific to sparse
> matrices.
>
> G
>
>
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That makes sense. I've learnt something new :)
I've asked Denis to note the bug on github, and I'll have a look on the
weekend if I get time.
Thanks,
Robert
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contains a definitive record of customers, application performance,
security threats, fraudulent activity, and more. Splunk takes this
data and makes sense of it. IT sense. And common sense.
http://p.sf.net/sfu/splunk-novd2d
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