Hi,
I am trying to fit my model using regression trees but the problem is, it
consumes a lot of RAM, which makes my code unresponsive. By looking at
different forums and platforms, I think this is a common problem. I was
wondering, how you free up memory or what are the best ways to run the
fitting process/cross-validation without running out of memory? This
problem is mostly with all regression trees (I think with other ML
algorithms as well). Shall I try to run without n_job=-1 and use some other
value (e.g. n_jobs=10) in cross_validation?
Thanks
Kindest Regards
Waseem
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