Thanks to visit codestin.com
Credit goes to github.com

Skip to content

[MRG+1] TST Improve SelectFromModel tests #9733

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Sep 20, 2017

Conversation

jnothman
Copy link
Member

Should fix one of the issues in #9393

Also separates out some tests that were inappropriately stuck in one ill-named function.

Should fix one of the issues in scikit-learn#9393
@jnothman jnothman changed the title TST Improve SelectFromModel tests [MRG] TST Improve SelectFromModel tests Sep 12, 2017
@jnothman jnothman added this to the 0.19.1 milestone Sep 12, 2017
@jnothman
Copy link
Member Author

Btw, this avoids the issue in #9393 by comparing masks (a weaker assertion) rather than the importances of the wrapped estimator, which are susceptible to being affected by weight scale.

@lesteve
Copy link
Member

lesteve commented Sep 19, 2017

LGTM, Could you reproduce the problem you pasted in #9393 (comment) and do you have an idea whether this PR gets rid of it.

Copy and paste of the failure for good measure:

======================================================================
FAIL: sklearn.feature_selection.tests.test_from_model.test_feature_importances
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py", line 667, in run_test
    return func(*args, **kwargs)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_from_model.py", line 72, in test_feature_importances
    assert_almost_equal(importances, importances_bis, decimal=4)
  File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 573, in assert_almost_equal
    return assert_array_almost_equal(actual, desired, decimal, err_msg)
  File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 979, in assert_array_almost_equal
    precision=decimal)
  File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 796, in assert_array_compare
    raise AssertionError(msg)
AssertionError: 
Arrays are not almost equal to 4 decimals

(mismatch 70.0%)
 x: array([ 0.1537,  0.2294,  0.1825,  0.0667,  0.0485,  0.0587,  0.0643,
        0.0642,  0.066 ,  0.066 ])
 y: array([ 0.1527,  0.2294,  0.1822,  0.0675,  0.0483,  0.0587,  0.0648,
        0.0642,  0.0656,  0.0665])

@lesteve lesteve changed the title [MRG] TST Improve SelectFromModel tests [MRG+1] TST Improve SelectFromModel tests Sep 19, 2017
@jnothman
Copy link
Member Author

jnothman commented Sep 19, 2017 via email

@ogrisel
Copy link
Member

ogrisel commented Sep 20, 2017

LGTM as well.

@ogrisel ogrisel merged commit 49af61c into scikit-learn:master Sep 20, 2017
ogrisel pushed a commit that referenced this pull request Sep 20, 2017
Should fix one of the issues in #9393
@ogrisel
Copy link
Member

ogrisel commented Sep 20, 2017

Cherry-picked to 0.19.X as a552a13.

@jnothman
Copy link
Member Author

jnothman commented Sep 24, 2017 via email

amueller pushed a commit that referenced this pull request Oct 21, 2017
Should fix one of the issues in #9393
yarikoptic added a commit to yarikoptic/scikit-learn that referenced this pull request Oct 24, 2017
* tag '0.19.1': (117 commits)
  TST Improve SelectFromModel tests (scikit-learn#9733)
  Name in what's new
  [MRG+1] Raise error when SparseSeries is passed into classification metrics (scikit-learn#7373)
  Fix LogisticRegressionCV default solver value in docstring (scikit-learn#9962)
  [MRG+1] DOC fix sign in GBRT mathematical formulation (scikit-learn#9885)
  [MRG+1] DOC fix sign in GBRT mathematical formulation (scikit-learn#9885)
  DOC fix a typo (scikit-learn#9892)
  [MRG+1] Ledoit-Wolf behavior explanation (scikit-learn#9500)
  [MRG+1] Fix typos in documentation (scikit-learn#9878)
  DOC: Use setattr(self, ...) instead of self.setattr(...) (scikit-learn#9866)
  DOC Removed a duplicate occurrence of a word in 'sklearn.neighbors.KNeighborsRegressor' docs (scikit-learn#9862)
  FIX docstring of negative_outlier_factor_ in LOF (scikit-learn#9809)
  [MRG+1] Fix scikit-learn#9743: Adding parameter information to docstring. (scikit-learn#9757)
  DOC: fix docstring of Imputer.fit (scikit-learn#9769)
  various minor spelling tweaks (scikit-learn#9783)
  MAINT comment on apparent inconsistency
  [MRG+1] DOC fix headers level in cross_validation.rst (scikit-learn#9679)
  Fix mailmap format (scikit-learn#9620)
  DOC Fix typos (scikit-learn#9577)
  Typo (scikit-learn#9571)
  ...
yarikoptic added a commit to yarikoptic/scikit-learn that referenced this pull request Oct 24, 2017
* releases: (117 commits)
  TST Improve SelectFromModel tests (scikit-learn#9733)
  Name in what's new
  [MRG+1] Raise error when SparseSeries is passed into classification metrics (scikit-learn#7373)
  Fix LogisticRegressionCV default solver value in docstring (scikit-learn#9962)
  [MRG+1] DOC fix sign in GBRT mathematical formulation (scikit-learn#9885)
  [MRG+1] DOC fix sign in GBRT mathematical formulation (scikit-learn#9885)
  DOC fix a typo (scikit-learn#9892)
  [MRG+1] Ledoit-Wolf behavior explanation (scikit-learn#9500)
  [MRG+1] Fix typos in documentation (scikit-learn#9878)
  DOC: Use setattr(self, ...) instead of self.setattr(...) (scikit-learn#9866)
  DOC Removed a duplicate occurrence of a word in 'sklearn.neighbors.KNeighborsRegressor' docs (scikit-learn#9862)
  FIX docstring of negative_outlier_factor_ in LOF (scikit-learn#9809)
  [MRG+1] Fix scikit-learn#9743: Adding parameter information to docstring. (scikit-learn#9757)
  DOC: fix docstring of Imputer.fit (scikit-learn#9769)
  various minor spelling tweaks (scikit-learn#9783)
  MAINT comment on apparent inconsistency
  [MRG+1] DOC fix headers level in cross_validation.rst (scikit-learn#9679)
  Fix mailmap format (scikit-learn#9620)
  DOC Fix typos (scikit-learn#9577)
  Typo (scikit-learn#9571)
  ...
yarikoptic added a commit to yarikoptic/scikit-learn that referenced this pull request Oct 24, 2017
* dfsg: (117 commits)
  TST Improve SelectFromModel tests (scikit-learn#9733)
  Name in what's new
  [MRG+1] Raise error when SparseSeries is passed into classification metrics (scikit-learn#7373)
  Fix LogisticRegressionCV default solver value in docstring (scikit-learn#9962)
  [MRG+1] DOC fix sign in GBRT mathematical formulation (scikit-learn#9885)
  [MRG+1] DOC fix sign in GBRT mathematical formulation (scikit-learn#9885)
  DOC fix a typo (scikit-learn#9892)
  [MRG+1] Ledoit-Wolf behavior explanation (scikit-learn#9500)
  [MRG+1] Fix typos in documentation (scikit-learn#9878)
  DOC: Use setattr(self, ...) instead of self.setattr(...) (scikit-learn#9866)
  DOC Removed a duplicate occurrence of a word in 'sklearn.neighbors.KNeighborsRegressor' docs (scikit-learn#9862)
  FIX docstring of negative_outlier_factor_ in LOF (scikit-learn#9809)
  [MRG+1] Fix scikit-learn#9743: Adding parameter information to docstring. (scikit-learn#9757)
  DOC: fix docstring of Imputer.fit (scikit-learn#9769)
  various minor spelling tweaks (scikit-learn#9783)
  MAINT comment on apparent inconsistency
  [MRG+1] DOC fix headers level in cross_validation.rst (scikit-learn#9679)
  Fix mailmap format (scikit-learn#9620)
  DOC Fix typos (scikit-learn#9577)
  Typo (scikit-learn#9571)
  ...
maskani-moh pushed a commit to maskani-moh/scikit-learn that referenced this pull request Nov 15, 2017
jwjohnson314 pushed a commit to jwjohnson314/scikit-learn that referenced this pull request Dec 18, 2017
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants