AxeldeRomblay / MLBox

MLBox is a powerful Automated Machine Learning python library.
https://mlbox.readthedocs.io/en/latest/
Other
1.49k stars 274 forks source link

release 0.7.0 #70

Closed AxeldeRomblay closed 5 years ago

AxeldeRomblay commented 5 years ago

0.7.0 (2019-06-26)

AxeldeRomblay commented 5 years ago

Before merging, we need to setup the codecov report in the PR (and set a relative threshold under which the check is not successful) ! Also it could be great to check the build of the doc & the upload to PyPI...

codecov[bot] commented 5 years ago

Codecov Report

Merging #70 into master will increase coverage by 7.71%. The diff coverage is 85.45%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #70      +/-   ##
==========================================
+ Coverage      80%   87.71%   +7.71%     
==========================================
  Files           2       23      +21     
  Lines          10     1725    +1715     
==========================================
+ Hits            8     1513    +1505     
- Misses          2      212     +210
Impacted Files Coverage Δ
mlbox/model/classification/feature_selector.py 100% <ø> (ø)
mlbox/preprocessing/drift_thresholder.py 100% <ø> (ø)
mlbox/model/classification/__init__.py 100% <ø> (ø)
mlbox/__init__.py 100% <ø> (ø)
mlbox/optimisation/__init__.py 100% <ø> (ø)
mlbox/prediction/__init__.py 100% <ø> (ø)
mlbox/model/regression/feature_selector.py 100% <ø> (ø)
mlbox/encoding/__init__.py 100% <ø> (ø)
mlbox/preprocessing/drift/drift_estimator.py 98.03% <ø> (ø)
mlbox/preprocessing/drift/__init__.py 100% <ø> (ø)
... and 37 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 259ac58...048869b. Read the comment docs.

codecov[bot] commented 5 years ago

Codecov Report

Merging #70 into master will increase coverage by 7.7%. The diff coverage is 85.45%.

Impacted file tree graph

@@           Coverage Diff            @@
##           master     #70     +/-   ##
========================================
+ Coverage      80%   87.7%   +7.7%     
========================================
  Files           2      23     +21     
  Lines          10    1724   +1714     
========================================
+ Hits            8    1512   +1504     
- Misses          2     212    +210
Impacted Files Coverage Δ
mlbox/model/classification/feature_selector.py 100% <ø> (ø)
mlbox/optimisation/__init__.py 100% <ø> (ø)
mlbox/prediction/__init__.py 100% <ø> (ø)
mlbox/preprocessing/drift_thresholder.py 100% <ø> (ø)
mlbox/model/classification/__init__.py 100% <ø> (ø)
mlbox/__init__.py 100% <ø> (ø)
mlbox/model/regression/feature_selector.py 100% <ø> (ø)
mlbox/encoding/__init__.py 100% <ø> (ø)
mlbox/preprocessing/drift/drift_estimator.py 98.03% <ø> (ø)
mlbox/preprocessing/drift/__init__.py 100% <ø> (ø)
... and 37 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 259ac58...d951d9d. Read the comment docs.

AxeldeRomblay commented 5 years ago

:)