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LabeliaLabs / distributed-learning-contributivity

Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.
https://www.labelia.org
Apache License 2.0
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Release pypi #363

Closed celinejacques closed 2 years ago

celinejacques commented 2 years ago

New version of the library on Pypi

codecov-commenter commented 2 years ago

Codecov Report

Merging #363 (db34923) into master (9590aea) will increase coverage by 0.67%. The diff coverage is 96.42%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #363      +/-   ##
==========================================
+ Coverage   79.64%   80.32%   +0.67%     
==========================================
  Files          15       15              
  Lines        3272     3410     +138     
==========================================
+ Hits         2606     2739     +133     
- Misses        666      671       +5
Impacted Files Coverage Δ
mplc/multi_partner_learning/__init__.py 100.00% <ø> (ø)
mplc/scenario.py 81.25% <66.66%> (-0.15%) :arrow_down:
mplc/utils.py 87.34% <93.75%> (+0.62%) :arrow_up:
mplc/multi_partner_learning/basic_mpl.py 88.53% <97.50%> (+2.85%) :arrow_up:
mplc/multi_partner_learning/utils.py 86.86% <100.00%> (ø)

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