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New version: MLJEnsembles v0.2.0 #51307

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merged 1 commit into from
Dec 28, 2021

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  • (breaking) Change syntax EnsembleModel(atom=...) to EnsembleModel(model=...) for consistency with other MLJ model wrappers (eg, TunedModel) but additionally allow passing model as non-keyword argument, as in EnsembleModel(my_tree, ...).
  • Add CategoricalDistributions.jl as a dependency
  • Bump compat for MLJBase to 0.19 and address the fact that UnivariateFinite functionality is not defined in MLJBase 0.19, but in CategoricalDistributions.jl instead.

UUID: 50ed68f4-41fd-4504-931a-ed422449fee0
Repo: https://github.com/JuliaAI/MLJEnsembles.jl.git
Tree: 4279437ccc8ece8f478ded5139334b888dcce631

Registrator tree SHA: 8e1a5ac2695627143951512d700c7e3c445102ec
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Your new version pull request met all of the guidelines for auto-merging and is scheduled to be merged in the next round.


If you want to prevent this pull request from being auto-merged, simply leave a comment. If you want to post a comment without blocking auto-merging, you must include the text [noblock] in your comment.

@JuliaTagBot JuliaTagBot merged commit dc36679 into master Dec 28, 2021
@JuliaTagBot JuliaTagBot deleted the registrator/mljensembles/50ed68f4/v0.2.0 branch December 28, 2021 02:10
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