On 24 November 2011 09:53, Olivier Grisel <[email protected]> wrote:
> I don't think there is any ambiguity here. The shape is
> `(n_samples,)`. Computing classification metrics on features does not
> make sense.
>
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> Olivier
>
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That is how the code works. Specifically though, the code for the metrics
doesn't handle the 1D case, which is why it needs to be changed. I don't
think we should specifically address the case of 1D arrays being passed
(just fix the bug instead?).
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All the data continuously generated in your IT infrastructure
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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