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EHN: random sampler can sample from heterogeneous data #451

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merged 7 commits into from Aug 23, 2018

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glemaitre
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closes #429

@pep8speaks
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pep8speaks commented Aug 23, 2018

Hello @glemaitre! Thanks for updating the PR.

Cheers ! There are no PEP8 issues in this Pull Request. 🍻

Comment last updated on August 23, 2018 at 12:58 Hours UTC

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codecov bot commented Aug 23, 2018

Codecov Report

Merging #451 into master will decrease coverage by 0.03%.
The diff coverage is 96.77%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #451      +/-   ##
==========================================
- Coverage   98.78%   98.75%   -0.04%     
==========================================
  Files          75       75              
  Lines        4446     4492      +46     
==========================================
+ Hits         4392     4436      +44     
- Misses         54       56       +2
Impacted Files Coverage Δ
imblearn/ensemble/base.py 96.15% <100%> (ø) ⬆️
imblearn/combine/smote_enn.py 100% <100%> (ø) ⬆️
...otype_selection/tests/test_random_under_sampler.py 100% <100%> (ø) ⬆️
imblearn/combine/smote_tomek.py 100% <100%> (ø) ⬆️
...mpling/prototype_selection/random_under_sampler.py 100% <100%> (ø) ⬆️
...rn/over_sampling/tests/test_random_over_sampler.py 100% <100%> (ø) ⬆️
imblearn/over_sampling/random_over_sampler.py 100% <100%> (ø) ⬆️
imblearn/utils/validation.py 99.39% <75%> (-0.61%) ⬇️
imblearn/utils/estimator_checks.py 96.76% <95.83%> (-0.12%) ⬇️

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@glemaitre glemaitre merged commit 6916fe9 into scikit-learn-contrib:master Aug 23, 2018
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Successfully merging this pull request may close these issues.

Allow RandomUp/DownSampler to run with Non-numeric columns for Pre-Encoding Sampling
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