JuliaGaussianProcesses / KernelFunctions.jl

Julia package for kernel functions for machine learning
https://juliagaussianprocesses.github.io/KernelFunctions.jl/stable/
MIT License
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Fixup: `] dev ../..` for train-kernel-parameters example #441

Closed st-- closed 2 years ago

st-- commented 2 years ago

Had overlooked this in #430, sorry:( Also upgrades Manifest.toml to version 2 & ] up.

codecov[bot] commented 2 years ago

Codecov Report

Merging #441 (29a0061) into master (6033b56) will increase coverage by 9.91%. The diff coverage is n/a.

@@            Coverage Diff             @@
##           master     #441      +/-   ##
==========================================
+ Coverage   83.21%   93.13%   +9.91%     
==========================================
  Files          52       52              
  Lines        1251     1252       +1     
==========================================
+ Hits         1041     1166     +125     
+ Misses        210       86     -124     
Impacted Files Coverage Δ
src/distances/dotproduct.jl 90.00% <0.00%> (+10.00%) :arrow_up:
src/transform/periodic_transform.jl 50.00% <0.00%> (+10.00%) :arrow_up:
src/distances/delta.jl 100.00% <0.00%> (+14.28%) :arrow_up:
src/matrix/kernelmatrix.jl 100.00% <0.00%> (+16.32%) :arrow_up:
src/distances/sinus.jl 81.81% <0.00%> (+18.18%) :arrow_up:
src/generic.jl 100.00% <0.00%> (+20.00%) :arrow_up:
src/utils.jl 91.13% <0.00%> (+20.25%) :arrow_up:
src/chainrules.jl 83.95% <0.00%> (+25.92%) :arrow_up:
src/matrix/kernelpdmat.jl 81.81% <0.00%> (+81.81%) :arrow_up:
src/approximations/nystrom.jl 92.50% <0.00%> (+92.50%) :arrow_up:
... and 1 more

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