Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
* Push scipy min version to 1.0.0
* Update all ubuntu images to 20.04 focal.
* Add ubuntu images 18.04 bionic and scipy fron conda-forge.
* Fix conditions.
* Pin python 3.6 for ubuntu bionic.
* Change pipeline name.
* Change matrix element name.
* Keep python 3.9 from system not conda in Ubuntu 20.04.
* Remove python directive when unnecessary.
* Cleanup.
* Downgrade to python 3.6 as scipy 1.0.0 is incompatible with 3.8.
* Fix comment.
* Fix comment.
* Pin pytest again as we are forced to use 3.6.
* Move to conda installer for 32bit linux.
* Install miniconda for ubuntu 32bit.
* Install wget for ubuntu 32bit.
* Revert 32bit OS to ubuntu bionic 18.04.
* Install scipy from pip in 32bit system.
* Fix doctest failures.
* Revert example rendering.
* Relax pytest version in ubuntu install.
* Skip failing tests.
* Put comment at the right place.
* Remove python3.6. Ubuntu32 still needs to be adapted.
* Push numpy and scipy min versions for compatibility with 3.7.
* Push matplotlib min version for compatibility with 3.7. Install numpy via pip in 32bit linux.
* Install numpy before scipy in Linux 32bit.
* Pass numpy version to linux32.
* Test 32bit architecture on debian buster (still exists for 32bit with python 3.7).
* Install matplotlib from distribution.
* Syntax error...
* Stick to the numpy debian version to avoid Expected 124 from C header, got 112 from PyObject error.
* Clean comments.
* Revert skip in doctest to check with new dependencies.
* Rename distrib.
* Skip again...
* Fix test on check_array.
* Remove comment and fix lint at the same time.
* Clean import.
* Increase atol in test_derivatives to make the test pass in py37_conda_openblas environment.
* Avoid sparse matrix dependent on scipy version.
* Skip docstring test for pandas versions less then 1.1.0.
* Fix lint error.
* Empty commit to force checks.
* Add minimal dependencies in changelog.
* Update to python 3.7 CircleCI and Travis builds.
* Move to debian buster for python3.7 dependencies.
* Fix the container tag.
* Lower the minimal pandas version for compatibility with python 3.7.
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Joseph Knox <jknox13@uw.edu>
Co-authored-by: Joseph Knox <joseph.edward.knox@gmail.com>
* Add context to tutorial example
* try to keep line length under 80 characters
* make CI pass
* MNT Skips unsupervised_learning when scikit-image is not installed
* DOC make code comments as text
* solve issue plotting
* fix
* center images
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Thomas J Fan <thomasjpfan@gmail.com>
* dropping python-3.5
* fix install guide
* fix setup.py
* fix circleci
* advanced_installation
* index.html
* readme
* pyparsing.py
* remove clean_warning_registry
* 1.13.1 and 1.19.1
* don't use 16.04
* 18.04 libatlas-dev -> libatlas-base-dev
* min pillow version for 3.6 is 4.2.1
* echo commands
* fix conflict, and 32 bit
* fix conflict for circle
* fix scikit-image version dep
* mark tests as xfail on 32bit py3.6
* move to 1.13.3 min numpy version, and simplify old code
* remove the rest of _object_dtype_isnan usages
* Revert "remove the rest of _object_dtype_isnan usages"
This reverts commit c6e867ea1f.
* fix issues raised by jeremy
* minor fix
* minor fixes mentioned by Olivier
* add pprint for estimators
* strip color from length, add color option
* Minor cleaning, fixes, factoring and docs
* Added some basic tests
* Fixed line length issue
* fixed flake8 and added visual test for review
* Fixed test
* Fixed Python 2 issues (inspect.signature import)
* Trying to fix flake8 again
* Added special repr for functions
* Added some other visual tests
* Changed _format_function in to _format_callable
because callable() returns True also for class objects (which we want to
reprensent with their name as well anyway)
* Consistent output in Python 2 and 3
* WIP
* Now using the builtin pprint module
* pep8
* Added changed_only param
* Fixed printing when string would fit in less than line width
* Fixed printing of steps parameter
* Fixed changed_only param for short estimators
* fixed pep8
* Added some more description in docstring
* changed_only is now an option from set_config()
* Put _pprint.py into sklearn/utils, added tests
* Added doctest NORMALIZE_WHITESPACE where needed
* Fixed tests
* fix test-doc
* fixing test that passed before....
* Fixed tests
* Added test for changed_only and long lines
* typo
* Added authors names
* Added license file
* Added ellipsis based on number of elements in sequence + added increasinly aggressive repr strategies
* Updated whatsnew
* dont use increaingly aggressive strategy
* Fixed tests
* Removed LICENSE file and put license text in _pprint.py
* fixed test_base
* Sorted parameters dictionary for consistent output in 3.5
* Actually using OrderedDict...
* Addressed comments
* Added test for NaN changed parameter
* Update whatsnew
* Added example to set_config()
* Removed example
* Added example in gallery
* Spelling
* 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)
Thomas J. Fan
Hanmin Qin