search

ronikobrosly / causal-curve

A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
MIT License
271 stars 18 forks source link

Release/1.0.0 #29

Closed ronikobrosly closed 3 years ago

ronikobrosly commented 3 years ago

PR to make causal-curve 1.0!

codecov-io commented 3 years ago

Codecov Report

Merging #29 (723a613) into master (50213c1) will increase coverage by 0.24%. The diff coverage is 95.84%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #29      +/-   ##
==========================================
+ Coverage   96.48%   96.73%   +0.24%     
==========================================
  Files          15       20       +5     
  Lines         853      918      +65     
==========================================
+ Hits          823      888      +65     
  Misses         30       30
Impacted Files Coverage Δ
causal_curve/mediation.py 93.96% <65.00%> (+0.31%) :arrow_up:
causal_curve/gps_core.py 96.27% <90.47%> (ø)
causal_curve/tmle_core.py 95.29% <95.29%> (ø)
causal_curve/gps_classifier.py 95.65% <95.65%> (ø)
causal_curve/__init__.py 100.00% <100.00%> (ø)
causal_curve/core.py 100.00% <100.00%> (ø)
causal_curve/gps_regressor.py 100.00% <100.00%> (ø)
causal_curve/tmle_regressor.py 100.00% <100.00%> (ø)
tests/conftest.py 100.00% <100.00%> (ø)
tests/integration/test_gps.py 100.00% <100.00%> (ø)
... and 16 more

Continue to review full report at Codecov.

Legend - Click here to learn more Δ = absolute <relative> (impact), ø = not affected, ? = missing data Powered by Codecov. Last update 50213c1...723a613. Read the comment docs.