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AxeldeRomblay / MLBox

MLBox is a powerful Automated Machine Learning python library.
https://mlbox.readthedocs.io/en/latest/
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Dev #32

Closed AxeldeRomblay closed 7 years ago

codecov[bot] commented 7 years ago

Codecov Report

Merging #32 into master will decrease coverage by 82.63%. The diff coverage is 100%.

Impacted file tree graph

@@             Coverage Diff             @@
##           master      #32       +/-   ##
===========================================
- Coverage     100%   17.36%   -82.64%     
===========================================
  Files           1       27       +26     
  Lines           4     1929     +1925     
===========================================
+ Hits            4      335      +331     
- Misses          0     1594     +1594
Impacted Files Coverage Δ
tests/test_mlbox.py 100% <100%> (ø) :arrow_up:
python-package/mlbox/preprocessing/drift/rde_cv.py 10.25% <0%> (ø)
python-package/mlbox/preprocessing/__init__.py 100% <0%> (ø)
.../mlbox/model/supervised/classification/__init__.py 100% <0%> (ø)
python-package/mlbox/model/__init__.py 100% <0%> (ø)
python-package/mlbox/model/supervised/__init__.py 100% <0%> (ø)
...l/supervised/classification/stacking_classifier.py 12.97% <0%> (ø)
python-package/mlbox/optimisation/__init__.py 100% <0%> (ø)
...age/mlbox/model/supervised/regression/regressor.py 28.84% <0%> (ø)
...thon-package/mlbox/preprocessing/drift/__init__.py 100% <0%> (ø)
... and 17 more

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codecov[bot] commented 7 years ago

Codecov Report

Merging #32 into master will decrease coverage by 1.53%. The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #32      +/-   ##
==========================================
- Coverage   17.34%   15.81%   -1.54%     
==========================================
  Files          27       27              
  Lines        1931     2801     +870     
==========================================
+ Hits          335      443     +108     
- Misses       1596     2358     +762
Impacted Files Coverage Δ
tests/test_mlbox.py 100% <100%> (ø) :arrow_up:
python-package/mlbox/optimisation/optimiser.py 8.43% <0%> (-2.46%) :arrow_down:
...lbox/model/supervised/classification/classifier.py 24.52% <0%> (-2.18%) :arrow_down:
python-package/mlbox/prediction/predictor.py 9.83% <0%> (-2.11%) :arrow_down:
...odel/supervised/classification/feature_selector.py 20.25% <0%> (-1.97%) :arrow_down:
python-package/mlbox/encoding/na_encoder.py 21.05% <0%> (-1.87%) :arrow_down:
...age/mlbox/model/supervised/regression/regressor.py 27.19% <0%> (-1.66%) :arrow_down:
...thon-package/mlbox/encoding/categorical_encoder.py 7.77% <0%> (-1.47%) :arrow_down:
python-package/mlbox/preprocessing/reader.py 6.04% <0%> (-1.04%) :arrow_down:
.../model/supervised/regression/stacking_regressor.py 14.37% <0%> (-0.63%) :arrow_down:
... and 6 more

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Legend - Click here to learn more Δ = absolute <relative> (impact), ø = not affected, ? = missing data Powered by Codecov. Last update d410893...907ebe3. Read the comment docs.