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[WIP] Benchmarks #147

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@glemaitre glemaitre commented Sep 4, 2016 •
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This PR is intended to perform some automatic benchmarking of the different methods.

Guillaume Lemaitre and others added 30 commits June 8, 2016 00:29
Wrote the test for clustering centroids under-sampling
44f86f5
Remove the verbose from the coverage
69ef76f
Modify the sampler for full numpy support
fc5f893
Wrote the test for cnn and nearmiss
bcde1cb
Finish under-sampling tests
73836e3
Starting to write testing for easy ensemble
6282518
Make the testing for the easy ensemble method
d841c67
Finish the testing for the ensemble method
843bc85
Address the problem of ratio
01ba4c1
Switch to fully numpy random packages
4fd6e8f
Add the test for the over-sampling methods
f603847
Add test for combine method
63801d2
@glemaitre
Merge pull request scikit-learn-contrib#62 from glemaitre/test_combine
9b44e05 
[MRG] All testing
PEP8
303ecde
Refactor the setup files
94170b2
Remove accentuation
fda865a
Update the documentation
b80cf03
Change the directory where to compile the doc
beb188a
Add automatically the .nojekyll
4610ce8
@glemaitre
Update the README.md
545b781
@glemaitre
Update the LICENSE.md
08cae89
@dvro
Merge remote-tracking branch 'main/master' into instance_hardness
1dc5fef
@dvro
instance hardness updated
ee51225
@dvro
under-sampling instance hardness threshold pep8
542c76e
Change gitignore to avoid commmitting backup emacs file
48d66a2
PEP8
d085bc3
PEP8 and examples for IHT
7b6ba9e
Correct the error with PCA in the example
d78887d
@dvro
Merge pull request #1 from glemaitre/instance_hardness
27d7e0e 
[WIP] Instance hardness
@glemaitre
Merge pull request scikit-learn-contrib#68 from dvro/instance_hardness
aca7dfb 
Under-sampling instance hardness threshold method without kind_sel
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Coverage Status

Coverage decreased (-0.6%) to 98.525% when pulling 1d139ea on glemaitre:benchmarks into 13d59a9 on scikit-learn-contrib:master.

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coveralls commented Sep 4, 2016 •
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Coverage Status

Coverage decreased (-0.6%) to 98.525% when pulling 9f3f276 on glemaitre:benchmarks into 13d59a9 on scikit-learn-contrib:master.

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coveralls commented Sep 4, 2016 •
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Coverage Status

Coverage decreased (-0.6%) to 98.525% when pulling 9f3f276 on glemaitre:benchmarks into 13d59a9 on scikit-learn-contrib:master.

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coveralls commented Sep 4, 2016 •
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Coverage Status

Coverage decreased (-0.6%) to 98.525% when pulling 3b7087a on glemaitre:benchmarks into 13d59a9 on scikit-learn-contrib:master.

@coveralls
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Coverage Status

Coverage decreased (-0.6%) to 98.525% when pulling 8349e83 on glemaitre:benchmarks into 13d59a9 on scikit-learn-contrib:master.

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Coverage Status

Coverage decreased (-0.6%) to 98.525% when pulling 8349e83 on glemaitre:benchmarks into 13d59a9 on scikit-learn-contrib:master.

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coveralls commented Sep 4, 2016 •
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Coverage Status

Coverage decreased (-0.6%) to 98.525% when pulling 4d4cec1 on glemaitre:benchmarks into 13d59a9 on scikit-learn-contrib:master.

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coveralls commented Sep 4, 2016 •
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Coverage Status

Coverage decreased (-0.6%) to 98.525% when pulling f73d1c0 on glemaitre:benchmarks into 13d59a9 on scikit-learn-contrib:master.

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coveralls commented Sep 4, 2016 •
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Coverage Status

Coverage decreased (-0.6%) to 98.525% when pulling f73d1c0 on glemaitre:benchmarks into 13d59a9 on scikit-learn-contrib:master.

@glemaitre glemaitre added this to the 0.2.alpha milestone Sep 4, 2016
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coveralls commented Sep 5, 2016 •
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Coverage Status

Coverage decreased (-0.6%) to 98.525% when pulling 2bbce49 on glemaitre:benchmarks into 13d59a9 on scikit-learn-contrib:master.

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coveralls commented Sep 8, 2016 •
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Coverage Status

Coverage decreased (-0.6%) to 98.525% when pulling 264b04d on glemaitre:benchmarks into 13d59a9 on scikit-learn-contrib:master.

@glemaitre glemaitre modified the milestones: 0.3.alpha, 0.2.alpha Sep 14, 2016
@glemaitre glemaitre mentioned this pull request Nov 8, 2016
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@glemaitre glemaitre force-pushed the master branch 2 times, most recently from ab8214b to 19617eb Compare June 15, 2017 19:14
@glemaitre glemaitre closed this Jun 15, 2017
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@glemaitre @coveralls @dvro @proinsias @chkoar