[GRASS-dev] Non-linear (multiple) regression in GRASS?

Paulo van Breugel p.vanbreugel at gmail.com
Sat Feb 21 09:31:28 PST 2015


On Sat, Feb 21, 2015 at 3:21 PM, Pietro <peter.zamb at gmail.com> wrote:

> Hi Nikos,
>
> On Sat, Feb 21, 2015 at 2:08 PM, Nikos Alexandris
> <nik at nikosalexandris.net> wrote:
> > and advanced users.  Has anyone perforned, or has plans to implement,
> > non-linear (multi-) regression in GRASS  (not through R, of course)?
>
> I did a pixel by pixel regression using most of the code of the
> v.class.ml module, but the approach still need to act manually.
> So it is not ready...
>
> During next spring I would like to make a bit of order on the
> v.class.ml module, maybe change also the name, to allow supervised,
> unsupervised and regression tasks through scikit-learn library.
>
If you
> have some ideas on how would you like to organized these
> module/modules, like: which inputs are required, the outputs, the
> optional options and steps, please share them and we can start to
> discuss on how implement what.
>

The v.class.ml module is for vector classification. Perhaps you already had
this is mind, but would it be possible to implement something similar for
rasters, similar to the r.regression.multi module (but possibly allowing
the use of point vector data as calibration data)?


>
> Best regards.
>
> Pietro
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>
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