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Answers
that was not a metaphysical or rhetorical question.
Please dont be shy and shoot, answer, discuss.....
I think it is a weird RM behaviour and it is a problem.
ty
until now, the parallelization of RapidMiner has only limited capacity. We plan a major rework for the next major release (i.e. RapidMiner 6). Until then, you gain more if you start more than one instance of RapidMiner to handle several problems in parallel.
Best,
Marius
this happens regardless whether any parallelization features are on or off.
The CPU utilization is simply capped for any type of operator or parallel settings for RM.
Sure one can run multiple jobs but this is not a solution.
f
Best,
Marius