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

Paulo van Breugel p.vanbreugel at gmail.com
Tue Feb 24 08:30:46 PST 2015


On Tue, Feb 24, 2015 at 3:31 PM, Nikos Alexandris <nik at nikosalexandris.net>
wrote:

> Nikos Alexandris:
>
>  and advanced users.  Has anyone performed, or has plans to implement,
>>> non-linear (multi-) regression in GRASS  (not through R, of course)?
>>>
>>
> Pietro:
>
>  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.
>>
>
> Pietro,
>
> thanks for chiming-in.  I need an approach for raster images, as (usual,
> perfectly) explained by Markus M.  I think, it's exactly what I am in need
> for.
>

I wonder if it is possible to utilize the scikit-learn library for rasters
as well.. The library offers a broad range of regression models, as well as
clustering and classification functions.


>
> Nikos
>
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