Param Vals

[mllg]

No description provided.

[codecov]

Codecov Report

Merging #168 into master will increase coverage by 0.04%.
The diff coverage is 98.66%.

@@            Coverage Diff            @@
##           master    #168      +/-   ##
=========================================
+ Coverage   90.55%   90.6%   +0.04%     
=========================================
  Files          60      60              
  Lines        1610    1607       -3     
=========================================
- Hits         1458    1456       -2     
+ Misses        152     151       -1

Impacted Files	Coverage Δ
R/Log.R	73.33% <ø> (ø)	⬆️
R/assertions.R	65.95% <ø> (-4.74%)	⬇️
R/BenchmarkResult.R	79.31% <0%> (ø)	⬆️
R/mlr_resamplings_repeated_cv.R	100% <100%> (ø)	⬆️
R/TaskGenerator.R	100% <100%> (ø)	⬆️
R/Learner.R	90.62% <100%> (-0.81%)	⬇️
R/mlr_learners_regr_featureless.R	75.86% <100%> (+1.78%)	⬆️
R/Dictionary.R	81.57% <100%> (-0.93%)	⬇️
R/mlr_resamplings_bootstrap.R	100% <100%> (ø)	⬆️
R/LearnerRegr.R	100% <100%> (ø)	⬆️
... and 12 more

---

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Δ = absolute <relative> (impact), ø = not affected, ? = missing data
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[codecov]

Codecov Report

Merging #168 into master will decrease coverage by 0.62%.
The diff coverage is 98.41%.

@@            Coverage Diff             @@
##           master     #168      +/-   ##
==========================================
- Coverage   90.55%   89.93%   -0.63%     
==========================================
  Files          60       60              
  Lines        1610     1610              
==========================================
- Hits         1458     1448      -10     
- Misses        152      162      +10

Impacted Files	Coverage Δ
R/Log.R	73.33% <ø> (ø)	⬆️
R/BenchmarkResult.R	79.31% <0%> (ø)	⬆️
R/TaskGenerator.R	100% <100%> (ø)	⬆️
R/Learner.R	90.32% <100%> (-1.11%)	⬇️
R/mlr_resamplings_repeated_cv.R	100% <100%> (ø)	⬆️
R/mlr_learners_regr_featureless.R	75% <100%> (+0.92%)	⬆️
R/Dictionary.R	81.57% <100%> (-0.93%)	⬇️
R/mlr_resamplings_bootstrap.R	100% <100%> (ø)	⬆️
R/mlr_learners_classif_debug.R	95.91% <100%> (+0.08%)	⬆️
R/mlr_learners_classif_featureless.R	87.17% <100%> (+0.33%)	⬆️
... and 10 more

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 267c29b...607822e. Read the comment docs.