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parallel execution for permutation_importance
Codecov Report
Merging #244 into master will decrease coverage by
0.38%
. The diff coverage is83.33%
.
@@ Coverage Diff @@
## master #244 +/- ##
==========================================
- Coverage 97.26% 96.88% -0.39%
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Files 44 44
Lines 2851 2855 +4
Branches 541 542 +1
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- Hits 2773 2766 -7
- Misses 41 48 +7
- Partials 37 41 +4
Impacted Files | Coverage Δ | |
---|---|---|
eli5/sklearn/permutation_importance.py | 100% <100%> (ø) |
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eli5/permutation_importance.py | 90.62% <80%> (-9.38%) |
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eli5/sklearn/utils.py | 87.32% <0%> (-2.82%) |
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eli5/lime/utils.py | 85.13% <0%> (-1.36%) |
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eli5/xgboost.py | 98.17% <0%> (-1.22%) |
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eli5/lime/lime.py | 96% <0%> (-1%) |
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Thanks, looks like a great feature!
Tests are failing in Python 2.7; I'm not sure what it takes to make it work. Does it at least work with n_jobs=1?
It seems in py2 instance method cannot be pickled in default. https://gist.github.com/luoq/703ec045827caf5a504ff97376db9c3e https://stackoverflow.com/questions/1816958/cant-pickle-type-instancemethod-when-using-multiprocessing-pool-map?rq=1
It's fixed after python3.5: https://stackoverflow.com/questions/45901505/python3-6-can-pickle-instance-method-staticmethod-classmethod-but-document-say
Are you still working on this? Would be very useful.
will you drop python2 soon, so this pr gets merged?
shall we switch this to use https://joblib.readthedocs.io/en/latest/parallel.html instead?
Can I ask what happened to this? Is there now a way to use eli5.sklearn.PermutationImportance()
in parallel?