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scikit-learn / scikit-learn / 22603
17%

Build:
DEFAULT BRANCH: master
Ran 01 Dec 2016 04:12PM UTC
Jobs 1
Files 368
Run time 22s
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[MRG+2] Adding return_std options for models in linear_model/bayes.py (#7838)

* initial commit for return_std

* initial commit for return_std

* adding tests, examples, ARD predict_std

* adding tests, examples, ARD predict_std

* a smidge more documentation

* a smidge more documentation

* Missed a few PEP8 issues

* Changing predict_std to return_std #1

* Changing predict_std to return_std #2

* Changing predict_std to return_std #3

* Changing predict_std to return_std final

* adding better plots via polynomial regression

* trying to fix flake error

* fix to ARD plotting issue

* fixing some flakes

* Two blank lines part 1

* Two blank lines part 2

* More newlines!

* Even more newlines

* adding info to the doc string for the two plot files

* Rephrasing "polynomial" for Bayesian Ridge Regression

* Updating "polynomia" for ARD

* Adding more formal references

* Another asked-for improvement to doc string.

* Fixing flake8 errors

* Cleaning up the tests a smidge.

* A few more flakes

* requested fixes from Andy

* Mini bug fix

* Final pep8 fix

* pep8 fix round 2

* Fix beta_ to alpha_ in the comments

57003 of 60200 relevant lines covered (94.69%)

0.95 hits per line

Jobs
ID Job ID Ran Files Coverage
1 22603.1 (DISTRIB="ubuntu" PYTHON_VERSION="2.7" CYTHON_VERSION="0.23.4" COVERAGE=true) 01 Dec 2016 04:12PM UTC 0
94.69
Travis Job 22603.1
Source Files on build 22603
Detailed source file information is not available for this build.
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