On Mon, Jul 30, 2012 at 11:43:01AM +0200, Olivier Grisel wrote:
> This could be worked around by chunking the data argument of the
> predict calls instead.

Indeed.

In addition, a voronoi tessalation computed with a KMeans during the
train could be used to avoid testing all the samples in the large n
situation.

I guess its just a small matter of programming :)

Gael

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