10000 [MRG] GBM & meta-ensembles - support for class_weight by trevorstephens · Pull Request #4215 · scikit-learn/scikit-learn · GitHub
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[MRG] GBM & meta-ensembles - support for class_weight #4215

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trevorstephens
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Refactoring #4114 on top of #4190 and removing the GBM coding style changes from the scope of this PR for ease of review. Basically I'm adding class_weights to the remaining ensemble classes as was done in #3961 for forests and trees.

@amueller @pprett @glouppe you have all at least glanced at #4114 so perhaps you'll have a chance to review the new refactored version here.

@trevorstephens
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Know everyone's busy, but anyone had a chance to look over this at all?

Would it be easier for review if I broke it into a separate PR per classifier?

@amueller
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I think the scope is fine. Sorry, there is just a lot going on.

@trevorstephens
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No worries

@trevorstephens
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Thanks for the review @vmichel !

I'll try to address your concerns over the weekend + rebase.

@trevorstephens
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Actually @vmichel , I think I'll hold off on addressing your concerns until after #4347 hits master so that additional deprecation is avoided here.

@tuomastik
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Is this feature still on the roadmap? It would be useful.

@adrinjalali
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Would be nice to have a fresh start here maybe. @ogrisel and @lorentzenchr might be interested. Closing for now, unless it reactivates.

@adrinjalali adrinjalali closed this Mar 6, 2024
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