OK, thanks, that looks interesting. I really should get into Python.. would
be great if this could work with raster data as input, e.g., for species
distribution modelling. I can imagine that this might be a (faster)
alternative to modelling in R (especially the model projection part, which
can be a bit problematic in R for large data sets).
On Wed, May 14, 2014 at 9:55 AM, Moritz Lennert <
mlenn...@club.worldonline.be> wrote:
> On 13/05/14 22:27, Paulo van Breugel wrote:
>
>> Does anybody have experience with the scikit-learn toolkit? It seems
>> like a very extensive tool set for machine learning in Python. I have no
>> experience in programming in Python, so I cannot really judge how
>> difficult it would be to call functions from this tool set in GRASS, but
>> if possible, that would be great.
>>
>
> Pietro used scikit-learn for object-based classification:
>
> https://svn.osgeo.org/grass/grass-addons/grass7/vector/v.class.ml/
>
> See it mentioned here:
>
> http://lists.osgeo.org/pipermail/grass-dev/2014-January/066804.html
>
> Moritz
>
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