New version: MLJTuning v0.7.1

[JuliaRegistrator]

• Registering package: MLJTuning
• Repository: https://github.com/JuliaAI/MLJTuning.jl
• Created by: @ablaom
• Version: v0.7.1
• Commit: d87788a902ebb70b4ce794b2bb14737d3c4c2007
• Reviewed by: @ablaom
• Reference: Issue for triggering new releases JuliaAI/MLJTuning.jl#59 (comment)
• Description: Hyperparameter optimization algorithms for use in the MLJ machine learning framework
• Release notes:

• (enhancement) Add user to specify class weights when constructing TunedModel , for passing to measures (Register Mongoc: 0.3.0 #172)
• (convenience) Allow user to specify models as an argument instead of keyword, as in TunedModel(model, tuning=...) (Register ContinuousTimeMarkov: 0.2.0 #175)
• Suppress some unecessary "outer layer" caching of training data (Register Gtk: 0.17.0 #173)

[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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