Yes, it is the parameter p in the Minkowski distance:
http://en.wikipedia.org/wiki/Minkowski_distance.
I think the master branch should have this information in the docs.
2013/1/21 Thomas Dent <[email protected]>
> Hi all,
>
> I just started using sklearn nearest-neighbors for classification & would
> like to apply my own distance weighting function.
>
> To do this I need to know exactly what the 'distance' that is fed to the
> function represents. (Current documentation doesn't give me an immediate
> answer.)
>
> For example if I set p=2 do I get the Euclidean distance, i.e. the square
> root of the sums of squares of coordinate differences; or the square of it?
>
> If p>2 do I get the distance, in the sense of the p-th root of sum of p-th
> powers, or the p-th power of distance?
>
> Thanks,
> Tom
>
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