JuliaAI / MLJLinearModels.jl

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
MIT License
81 stars 13 forks source link

Malloc #25

Closed tlienart closed 5 years ago

tlienart commented 5 years ago

use of TEMP_N etc

codecov-io commented 5 years ago

Codecov Report

Merging #25 into master will increase coverage by 0.84%. The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #25      +/-   ##
==========================================
+ Coverage   95.45%   96.29%   +0.84%     
==========================================
  Files          18       19       +1     
  Lines         572      675     +103     
==========================================
+ Hits          546      650     +104     
+ Misses         26       25       -1
Impacted Files Coverage Δ
src/MLJLinearModels.jl 100% <ø> (ø) :arrow_up:
src/glr/constructors.jl 100% <ø> (ø) :arrow_up:
src/glr/d_l2loss.jl 100% <100%> (ø) :arrow_up:
src/fit/default.jl 66.66% <100%> (+22.22%) :arrow_up:
src/loss-penalty/robust.jl 100% <100%> (ø) :arrow_up:
src/scratchspace.jl 100% <100%> (ø)
src/glr/d_logistic.jl 100% <100%> (ø) :arrow_up:
src/loss-penalty/generic.jl 86.07% <100%> (ø) :arrow_up:
src/glr/d_robust.jl 100% <100%> (ø) :arrow_up:
src/utils.jl 96.96% <100%> (+2.14%) :arrow_up:
... and 1 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 ab1de3c...63ff89f. Read the comment docs.