[ENH] parallelization backends for grid and random search#162
[ENH] parallelization backends for grid and random search#162SimonBlanke merged 21 commits intomasterfrom
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The only differences between these two branches are some examples. I suspect, that the CI tests from a different branch were running while this one started tests. This does not mean, that we shouldn't make the test pipeline faster. But this does mean, that this PR should not tackle this issue. |
fkiraly
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looks like it´s coming from ray - should we skip those tests for now?
Yes, let's skip it for now. Could you open an issue on how to test ray without blowing up our test pipeline, so that we remember this? |
From Original PR #150:
This PR introduces parallelization backends for GridSearch and RandomSearch.
Both estimators now allow to specify backend and backend_params in the constructor, which allows selection of a parallelization backend and configuration parameters for it - the default being "None", i.e., plain loop.
This uses the parallel utilities also used in sktime and skpro, with a mid-term plan to move these to scikit-base.