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[ENH] Resolve failing check_fit_deterministic #2575
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Thanks, checks looks good now ! For deprecation policy, I was talking about this, more specifically the "Deprecate a class parameter" example. you can tag it for removal in aeon 1.2, so users will see the deprecation notice when updating to a future 1.1 |
Reference Issues/PRs
Fixes #2457.
What does this implement/fix? Explain your changes.
The given classifiers fail the check_fit_deterministic() test due to wrong initialization of seed variable.
In the clone_estimator method I check if the given classifiers have any seed variable and initalize them with the random_state.
Does your contribution introduce a new dependency? If yes, which one?
No
Any other comments?
PR checklist
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For new estimators and functions
__maintainer__
at the top of relevant files and want to be contacted regarding its maintenance. Unmaintained files may be removed. This is for the full file, and you should not add yourself if you are just making minor changes or do not want to help maintain its contents.For developers with write access