+1 for an RBF network transformer (with an option to choose between k-means
and random sampling).
Mathieu
On Wed, Feb 26, 2014 at 9:40 PM, Vlad Niculae <zephy...@gmail.com> wrote:
> On Wed Feb 26 13:32:08 2014, Gael Varoquaux wrote:
> > documentation and example
>
> This was exactly my thought. Many such (near-)equivalences are not
> obvious, especially
> for beginners. If Lars's hinge ELM and RBF network would work well (or
> provide
> interesting feature visualisations) on some sklearn.dataset, an example
> would be
> very awesome.
>
> The KMeans + sparse coding transformer that was lying around in a PR
> might also be
> expressible as a pipeline I guess.
>
> Vlad
>
> >
> >
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Customize your own dashboards, set traffic alerts and generate reports.
Network behavioral analysis & security monitoring. All-in-one tool.
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