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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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Migrate from travis to github actions #298

Closed RomainGoussault closed 3 years ago

RomainGoussault commented 3 years ago

Close #296

codecov-io commented 3 years ago

Codecov Report

Merging #298 (be1e94e) into master (8dc64c3) will increase coverage by 1.01%. The diff coverage is n/a.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #298      +/-   ##
==========================================
+ Coverage   63.63%   64.64%   +1.01%     
==========================================
  Files          13       13              
  Lines        2560     2594      +34     
==========================================
+ Hits         1629     1677      +48     
+ Misses        931      917      -14
Impacted Files Coverage Δ
mplc/splitter.py 96.29% <0.00%> (+0.04%) :arrow_up:
mplc/scenario.py 83.08% <0.00%> (+0.12%) :arrow_up:
mplc/dataset.py 86.03% <0.00%> (+0.24%) :arrow_up:
mplc/multi_partner_learning.py 69.56% <0.00%> (+0.28%) :arrow_up:
mplc/models.py 68.91% <0.00%> (+0.42%) :arrow_up:
mplc/corruption.py 80.41% <0.00%> (+0.73%) :arrow_up:
mplc/partner.py 91.11% <0.00%> (+1.50%) :arrow_up:
mplc/contributivity.py 23.29% <0.00%> (+1.80%) :arrow_up:

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