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JuliaAI / MLJTuning.jl

Hyperparameter optimization algorithms for use in the MLJ machine learning framework
MIT License
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Fix invalid test tripped by julia 1.6.3 (reproducibility issue) #156

Closed ablaom closed 2 years ago

ablaom commented 2 years ago

No need for a new release.

This addresses a CI fail triggered by the release of julia 1.6.3.

codecov-commenter commented 2 years ago

Codecov Report

Merging #156 (1522779) into dev (2637091) will increase coverage by 15.50%. The diff coverage is n/a.

Impacted file tree graph

@@             Coverage Diff             @@
##              dev     #156       +/-   ##
===========================================
+ Coverage   72.09%   87.60%   +15.50%     
===========================================
  Files          11       11               
  Lines         491      613      +122     
===========================================
+ Hits          354      537      +183     
+ Misses        137       76       -61
Impacted Files Coverage Δ
src/range_methods.jl 95.55% <0.00%> (-4.45%) :arrow_down:
src/utilities.jl 100.00% <0.00%> (ø)
src/plotrecipes.jl 0.00% <0.00%> (ø)
src/strategies/random_search.jl 100.00% <0.00%> (ø)
src/strategies/latin_hypercube.jl 100.00% <0.00%> (ø)
src/strategies/grid.jl 100.00% <0.00%> (+2.50%) :arrow_up:
src/strategies/explicit.jl 92.00% <0.00%> (+3.11%) :arrow_up:
src/selection_heuristics.jl 95.00% <0.00%> (+7.50%) :arrow_up:
src/tuned_models.jl 92.95% <0.00%> (+19.20%) :arrow_up:
src/learning_curves.jl 97.00% <0.00%> (+39.10%) :arrow_up:
... and 1 more

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