New version: MLJModels v0.15.9

[JuliaRegistrator]

• Registering package: MLJModels
• Repository: https://github.com/JuliaAI/MLJModels.jl
• Created by: @ablaom
• Version: v0.15.9
• Commit: 37d1ed43a271fc58f13fc7c9e83448efa91414f8
• Reviewed by: @ablaom
• Reference: Issue to trigger new releases JuliaAI/MLJModels.jl#263 (comment)
• Description: Home of the MLJ model registry and tools for model queries and mode code loading
• Release notes:

• Allow OneHotCoder to provide basic missing value support by propagating missing values (New version VideoIO: 0.6.0 #457) @Chandu-4444
• (bug fix) Allow models internally implementing a "data front-end", such as EvoTrees models, to behave correctly when wrapped by BinaryThresholdPredictor(model=...) (New version Alpine: 0.1.9 #459) @OkonSamuel
• Have matching(X, y) issue a warning if y is a table with just one column (New package TensorBoardLogger: 0.1.0 #460) @DilumAluthge
• Bump Julia requirement to 1.6

[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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