* Change default solver in LogisticRegression
* This is an API change, not a feature
* Decrease numerical precision in LogisticRegression doctest
* ENH add multi_class='auto' for LR, default from 0.22
* No warning when binary
In order to fix#11408, this swaps `joblib` and `_joblib`. It however, allows users to access joblib's `Memory` or `Parallel` functionality without accessing `sklearn.externals._joblib` by importing `Memory`, `Parallel`, etc. into `sklearn.utils`.
* flatten_transform parameter added to VotingClassifier
* Regression test added
* What's new section added
* flake8 fix
* Improve test and docstring
* Add what's new entry
* default value flatten_transofrm
* Add test for warning msg
* Fix bug in assert_warns_message
* Move warn msg into transform
* Add deprecation warning
* Merge warning
* Change warn msg
* Move what's content into Trees and ensembles
* Fixes minor bug
* update what's new
* update test
* PR to 7288
Use _BaseComposition as base
* Fix flakes problem
* Change ``pipeline``, add more tests and other changes
1. Use ``_BaseComposition`` in class ``Pipeline`` and ``FeatureUnion``
2. Add tests of soft voting ``transform`` when one estimator is set to None
3. Add estimator name validation in ``_BaseComposition`` and tests
4. Other requested changes.
* Remove the unused import warn
* Add more test and documentation
* resolve conflict with master
* Add testing cases and modify documentation
* Add to whats_new.rst
* Fix too many blank lines
* parallelized VotingClassifier
* rename list to list_ to avoid problems
* Added new tests for sample_weight, multithreading and multiprocessing
* assert_equal -> assert_array_equal
* Fixed sample_weight existence check and test_sample_weight
* Code is clearer now
* Tests refactoring, 'backend' parameter removed
* Tests indentation fix
* reverted parallel predict and predict_proba to single threaded version
* what's new section added
* minor fixes
* check for sample_weight support in underlying estimators added
* newline at the end of test