On Tue, Apr 02, 2013 at 08:26:34PM +0000, Pieraut, Francis wrote:
> Andy, concerning the computation of the mean, the function has to be
> configurable too but the default function mean is also good for cosine &
> bregman divergence (http://www-users.cs.umn.edu/~kumar/dmbook/ch8.pdf  see
> table 8.2 page 501).

I think that you are mis-understanding the table (granted it's
confusing): the mean is then a Frechet mean, using as a distance in the
Frechet mean the distance of interest. This can be in general not
completely trivial to code.

> I was simply expected the distance function to be configurable as it is
> with many other sklearn functions.

Features in scikit-learn are pretty much implemented as people contribute
them. It seem that nobody so far has needed this feature badly enough to
contribute it.

Cheers,

Gaƫl

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