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Setting random_state and np.random.seed does not ensure reproducibility
See original GitHub issueI think it would be great and make things a lot easier, if there would be a top level API for scikit-learn
scikit-learn.set_random_seed
This would help a lot for reproducibility as one would not have to remember setting random states for each algorithm that is called. This has to deal with multiprocessing though I guess.
Issue Analytics
- State:
- Created 6 years ago
- Comments:27 (13 by maintainers)
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I’m asking, because right now I have problems with reproducibility. I set the np.random.seed as well as each algorithms random state, however the results are still a bit different each time a run the scripts.
This looks like a multiprocessing issue. When I run this with
n_jobs=1It seems that I always get the same result.