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JuliaAI / MLJTuning.jl

Hyperparameter optimization algorithms for use in the MLJ machine learning framework
MIT License
66 stars 12 forks source link

For a 0.8 release #195

Closed ablaom closed 10 months ago

ablaom commented 10 months ago

194

codecov[bot] commented 10 months ago

Codecov Report

All modified lines are covered by tests :white_check_mark:

Comparison is base (5334b4d) 86.57% compared to head (c6e7c82) 86.44%. Report is 26 commits behind head on master.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #195 +/- ## ========================================== - Coverage 86.57% 86.44% -0.14% ========================================== Files 12 13 +1 Lines 648 649 +1 ========================================== Hits 561 561 - Misses 87 88 +1 ``` | [Files](https://app.codecov.io/gh/JuliaAI/MLJTuning.jl/pull/195?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaAI) | Coverage Δ | | |---|---|---| | [src/MLJTuning.jl](https://app.codecov.io/gh/JuliaAI/MLJTuning.jl/pull/195?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaAI#diff-c3JjL01MSlR1bmluZy5qbA==) | `100.00% <ø> (ø)` | | | [src/tuned\_models.jl](https://app.codecov.io/gh/JuliaAI/MLJTuning.jl/pull/195?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaAI#diff-c3JjL3R1bmVkX21vZGVscy5qbA==) | `92.71% <ø> (-0.41%)` | :arrow_down: | | [src/utilities.jl](https://app.codecov.io/gh/JuliaAI/MLJTuning.jl/pull/195?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaAI#diff-c3JjL3V0aWxpdGllcy5qbA==) | `100.00% <100.00%> (ø)` | |

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