JuliaTrustworthyAI / ConformalPrediction.jl

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.
https://juliatrustworthyai.github.io/ConformalPrediction.jl/
MIT License
135 stars 12 forks source link

Adds full support for conformal training #100

Closed pat-alt closed 10 months ago

codecov-commenter commented 10 months ago

Codecov Report

Merging #100 (3a67c8f) into main (b20ead0) will decrease coverage by 1.64%. The diff coverage is 0.00%.

:exclamation: Your organization needs to install the Codecov GitHub app to enable full functionality.

@@            Coverage Diff             @@
##             main     #100      +/-   ##
==========================================
- Coverage   71.71%   70.07%   -1.64%     
==========================================
  Files          20       21       +1     
  Lines         760      772      +12     
==========================================
- Hits          545      541       -4     
- Misses        215      231      +16     
Files Coverage Δ
...rmal_models/ConformalTraining/ConformalTraining.jl 100.00% <ø> (ø)
...c/conformal_models/ConformalTraining/classifier.jl 0.00% <ø> (ø)
...rc/conformal_models/ConformalTraining/regressor.jl 0.00% <ø> (ø)
src/conformal_models/transductive_regression.jl 96.58% <ø> (ø)
src/conformal_models/ConformalTraining/training.jl 0.00% <0.00%> (ø)
src/conformal_models/ConformalTraining/losses.jl 0.00% <0.00%> (ø)
...formal_models/ConformalTraining/smooth_quantile.jl 0.00% <0.00%> (ø)

... and 1 file with indirect coverage changes

:mega: Codecov offers a browser extension for seamless coverage viewing on GitHub. Try it in Chrome or Firefox today!