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[Solved] Cross-validation parallel execution
Contributor I
Hi everybody,
Firstly i'm sorry if i'm in the wrong section.
I'm using RM for a few months and i'm very keen on this tool. But when i use the X-validation operator, the different fold of the crossvalidation are executed sequentially. I would like to know if there's a way to use the 8 cores of my computer to speed-up the execution (such a thing is possible with scikit-learn in python for instance).
Thank you!
NB: sorry for my english, i know it's not perfect but i hope it's stll understandable
Firstly i'm sorry if i'm in the wrong section.
I'm using RM for a few months and i'm very keen on this tool. But when i use the X-validation operator, the different fold of the crossvalidation are executed sequentially. I would like to know if there's a way to use the 8 cores of my computer to speed-up the execution (such a thing is possible with scikit-learn in python for instance).
Thank you!
NB: sorry for my english, i know it's not perfect but i hope it's stll understandable
0
Answers
you can install the Parallel Processing extension. It provides a X-Validation (parallel) where you can use several cores.
Please note that you should not cascade several parallel operators, such as Optimize Parameter (parallel) and X-Validation (parallel). That may lead to undefined behavior in some cases.
Best regards,
Marius
Regards.