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 < [email protected]> 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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