New version: MLJMultivariateStatsInterface v0.5.0

[JuliaRegistrator]

• Registering package: MLJMultivariateStatsInterface
• Repository: https://github.com/JuliaAI/MLJMultivariateStatsInterface.jl
• Created by: @ablaom
• Version: v0.5.0
• Commit: 957aeb1a8e68e8384d3790159af248f5366c744b
• Reviewed by: @ablaom
• Reference: Issue to trigger new releases JuliaAI/MLJMultivariateStatsInterface.jl#4 (comment)
• Description: Repository implementing MLJ interface for MultivariateStats models.
• Release notes:

Bumps the MultivariateStats requirement to 0.10, which forces some breaking changes (#51; @OkonSamuel):

• (breaking) The output of fitted_params and report for LDA models has changed. See the doc-strings for details.
• (breaking) Interpreting some output (now and previously) needs an ordering of target classes, and this ordering may no longer agree with levels(y). However the class label order adopted is now explicitly output by fitted_params.
• (breaking) In BayesianLDA and BayesianSubspaceLDA target class priors may no longer be specified as vectors. They must either be dictionaries or UnivariateFinite objects from CategoricalDistributions.jl.

[github-actions]

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

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