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JuliaAI / MLJTuning.jl

Hyperparameter optimization algorithms for use in the MLJ machine learning framework
MIT License
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Use mean instead of average for UnivariateFinite in tests; extend MLJBase compat to include 0.19^ #160

Closed ablaom closed 2 years ago

ablaom commented 2 years ago

This extends the compat for MLJBase to 0.19 and fixes some tests to accomodate the change (which was non-breaking for the code itself). Needs:

codecov-commenter commented 2 years ago

Codecov Report

Merging #160 (0d5f1db) into dev (831fec5) will increase coverage by 0.03%. The diff coverage is n/a.

Impacted file tree graph

@@            Coverage Diff             @@
##              dev     #160      +/-   ##
==========================================
+ Coverage   87.66%   87.70%   +0.03%     
==========================================
  Files          11       12       +1     
  Lines         616      618       +2     
==========================================
+ Hits          540      542       +2     
  Misses         76       76
Impacted Files Coverage Δ
src/MLJTuning.jl 100.00% <0.00%> (ø)
src/learning_curves.jl 97.02% <0.00%> (+0.02%) :arrow_up:

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