I've done some work recently on GPs, which addresses some of the
discussed issues. A pull-request containing this code can be found under
https://github.com/scikit-learn/scikit-learn/pull/4270
Feedback would be very welcome.
Best,
Jan
On 25.11.2014 18:56, Kyle Kastner wrote:
> Gradient based optimization (I think this might be related to the
> recent variational methods for GPs) would be awesome.
>
> On Tue, Nov 25, 2014 at 12:54 PM, Mathieu Blondel
> <math...@mblondel.org <mailto:math...@mblondel.org>> wrote:
>
>
>
> On Wed, Nov 26, 2014 at 2:37 AM, Andy <t3k...@gmail.com
> <mailto:t3k...@gmail.com>> wrote:
>
>
> What I think would be great to have is gradient based
> optimization of
> the kernel parameters
>
>
> +1
>
> This is one of the most appealing features of GPs IMO.
>
> Mathieu
>
>
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--
Jan Hendrik Metzen, Dr.rer.nat.
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