* Remove unused code
* Squash all the PR 9040 commits
initial PR commit
seq_dataset.pyx generated from template
seq_dataset.pyx generated from template #2
rename variables
fused types consistency test for seq_dataset
a
sklearn/utils/tests/test_seq_dataset.py
new if statement
add doc
sklearn/utils/seq_dataset.pyx.tp
minor changes
minor changes
typo fix
check numeric accuracy only up 5th decimal
Address oliver's request for changing test name
add test for make_dataset and rename a variable in test_seq_dataset
* FIX tests
* TST more numerically stable test_sgd.test_tol_parameter
* Added benchmarks to compare SAGA 32b and 64b
* Fixing gael's comments
* fix
* solve some issues
* PEP8
* Address lesteve comments
* fix merging
* avoid using assert_equal
* use all_close
* use explicit ArrayDataset64 and CSRDataset64
* fix: remove unused import
* Use parametrized to cover ArrayDaset-CSRDataset-32-64 matrix
* for consistency use 32 first then 64 + add 64 suffix to variables
* it would be cool if this worked !!!
* more verbose version
* revert SGD changes as much as possible.
* Add solvers back to bench_saga
* make 64 explicit in the naming
* remove checking native python type + add comparison between 32 64
* Add whatsnew with everyone with commits
* simplify a bit the testing
* simplify the parametrize
* update whatsnew
* fix pep8
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Closes#12798
#### What does this implement/fix? Explain your changes.
This PR deprecates the use of `logistic_regression_path` and makes it private.
#### Any other comments?
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* First draft on elasticnet penaly for LogisticRegression
* Some basic tests
* Doc update
* First draft for LogisticRegressionCV.
It seems to be working for binary classification and for multiclass when
multi_class='ovr'. I'm having a hard time figuring out the intricacies
of multi_class='multinomial'.
* Changed default to None for l1_ratio.
added warning message is user sets l1_ratio while penalty is not
elastic-net
* Some more doc
* Updated example to plot elastic net sparsity
* Fixed flake8
* Fixed test by not modifying attribute in fit
* Fixed doc issues
* WIP
* Partially fixed logistic_reg_CV for multinomial.
Also added some comments that are hopefully clear.
Still need to fix refit=False
* Fixed doc issue
* WIP
* Fixed test for refit=False in LogisticRegressionCV
* Fixed Python 2 numpy version issue
* minor doc updates
* Weird doc error...
* Added test to ensure that elastic net is at least as good as L1 or L2
once l1_ratio has been optimized with grid search
Also addressed minor reviews
* Fixed test
* addressed comments
* Added back ignore warning on tests
* Added a functional test
* Scale data in test... Now failing
* elastic-net --> elasticnet
* Updated doc for some attributes and checked their shape in tests
* Added l1_ratio dimension to coefs_paths and scores attr
* improve example + fix test
* FIX incorrect lagged_update in SAGA
* Add non-regression test for SAGA's bug
* FIX flake8 and warning
* Re fixed warning
* Updated some tests
* Addressed comments
* more comments and added dimension to LogisticRegressionCV.n_iter_ attribute
* Updated whatsnew for 0.21
* better doc shape looks
* Fixed whatnew entry after merges
* Added dot
* Addressed comments + standardized optional default param docstrings
* Addessed comments
* use swapaxes instead of unsupported moveaxis (hopefully fixes tests)
* 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
* add FutureWarning for methods with defaults=3
* add explicit cv values to fix assertion errors
* add tests for catching the FutureWarning
* Write current deprecation version
* Add deprecation in docstring
* change default cv value to None
* change cv from 3 to 5 in the examples
* upgrade doctests
* update doctest in tutorial
* update doctest in cross-validation doc
* fix tests
* add entry to whats new
* address Gael comments
* address Gael comments 2
* fix wrong indentation
* update doc
* add docstring deprecation warning in CV subclasses
* address Andy's comments
* fix PR number
* fix flake8
* add filterwarnings in tests
* fix doctests
* cv=None mendatory in Ridge
* fix warning related errors
* skip some doctests warnings
* make travis happy
* change from deprecated to versionchanged
* fix doctests and remove skipping
* address comments
Christian Lorentzen
Hanmin Qin