If I'm not wrong, this is fitting a model of the form f(x) = y (univariate
regression, 1d). I want to fit a model of the form f(x,y) = z (bivariate
regression, 2d).
Cheers,
-fernando
Sent from my iPhone
On Jan 22, 2013, at 9:31 PM, Leon Palafox <[email protected]> wrote:
This example is a 2D regression isn't it?
http://scikit-learn.org/dev/modules/gaussian_process.html#an-introductory-regression-example
On Wed, Jan 23, 2013 at 2:25 PM, Fernando Paolo <[email protected]> wrote:
> Hello,
>
> I'm new to scikit-learn, and wonder if it is possible to perform 2D
> Gaussian Process Regression? In other words, I would like to perform a 2d
> kriging interpolation of spatial data (e.g., some geophysical field), where
> each data point is represented as (x,y,z) = (lon,lat,var). I can't figure
> this out from the example given in the website.
>
> Thanks so much,
> -fernando
>
>
> --
> Fernando Paolo
> Institute of Geophysics & Planetary Physics
> Scripps Institution of Oceanography
> University of California, San Diego
>
> web: fspaolo.net
>
>
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--
Leon Palafox, M.Sc
PhD Candidate
Iba Laboratory
+81-3-5841-8436
University of Tokyo
Tokyo, Japan.
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