v2.1.0

What's Changed

• fix: use available np.int32 instead of np.int by @acostapazo in #16
• 14 grad gpad dataset by @acostapazo in #15
• fix(metrics): solve bug on type assertion on apecer and bpcer functions by @acostapazo in #13
• Feature/GitHub actions python311 by @acostapazo in #17

Full Changelog: v2.0.3...v2.1.0

v2.0.3

What's Changed

• Feature/modernize lume update lint and add codecov by @acostapazo in #5
• ENH: add some missing unit testing by @acostapazo in #6
• ENH: add reproducible research workflow and don't limit max parallel … by @acostapazo in #7
• ENH: add some missing unit testing by @acostapazo in #8
• chore(github-actions): update versions of steps and add latest python… by @acostapazo in #10
• chore(requirements): update requirements to increase Python version c… by @acostapazo in #11

Full Changelog: v2.0.2...v2.0.3

v2.0.2

• Improve the quality of images (png -> pdf) as well as the caption.
• Resolve some inconsistencies on generalisation metrics.
• Upgrade pre-commit dependencies

v2.0.1

• Fix bug on cli execution ⚠️

v2.0.0

• Added 3 new datasets. Now the GRAD-GPAD framework contains 13 datasets.
• Dataset labels and categorizations are now available on a simple JSON file.
• Added Demographic categorizations (Sex, Age, Skin Tone)
• Reproducible Research script.
• Added tools to calculate novel generalization and demographic metrics.
• Added tools to plot novel visualization ("PAD-radar" and "Bias-Percentile")

v0.1.3

• Solving packaging issues

v0.1.2

• Solving packaging issues.

v0.1.1

• Solving packaging issues.

v0.1.0

• Add Reproducible Research

v0.0.3

• Add first tool to open json-based results