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.
* More flexible grid search interface
* added info dict parameter
* Put back removed test
* renamed info into more_results
* Passed grroups as well since we need n_to use get_n_splits(X, y, groups)
* port
* pep8
* dabl -> sklearn
* add _required_parameters
* skipping check in rst file if pandas not installed
* Update sklearn/model_selection/_search_successive_halving.py
Co-Authored-By: Joel Nothman <joel.nothman@gmail.com>
* renamed into GridHalvingSearchCV and RandomHalvingSearchCV
* Addressed thomas' comments
* repr
* removed passing group as a parameter to evaluate_candidates
* Joels comments
* pep8
* reorganized user user guide
* renaming
* update user guide
* remove groups support + pass fit_params
* parameter renaming
* pep8
* r_i -> resource_iter
* fixed r_i issues
* examples + removed use of word budget
* Added inpute checking tests
* added cv_resutlts_ user guide
* minor title change
* fixed doc layout
* Addressed some comments
* properly pass down fit_params
* change default value of force_exhaust_resources and update doc
* should fix doc
* Used check_fit_params
* Update section about min_resources and number of candidates
* Clarified ratio section
* Use ~ to refer to classes
* fixed doc checks
* Apply suggestions from code review
Co-authored-by: Joel Nothman <joel.nothman@gmail.com>
* Addressed easy comments from Joel
* missed some
* updated docstring of run_search
* Used f strings instead of format
* remove candidate duplication checks
* fix example
* Addressed easy comments
* rotate ticks labels
* Added discussion in the intro as suggested by Joel
* Split examples into sections
* minor changes
* remove force_exhaust_budget and introduce min_resources=exhaust
* some minor validation
* Added a n_resources_ attribute
* update examples
* Addressed comments
* passing CV instead of X,y
* minor revert for handling fit_params
* updated docs
* fix len
* whatsnew
* Add test for sampling when all_list
* minor change to top-k
* Force CV splits to be consistent across calls
* reorder parameters
* reduced diff
* added tests for top_k
* put back doc for groups
* not sure what went wrong
* put import at its place
* some comment
* Addressed comments
* Added tests for cv_results_ and base estimator inputs
* pep8
* avoid monkeypatching
* rename df
* use Joel's suggestions for testing masks
* Made it experimental
* Should fix docs
* whats new entry
* Apply suggestions from code review
Co-authored-by: Andreas Mueller <t3kcit@gmail.com>
* Addressed comments to docs
* Addressed comments in examples
* minor doc update
* minor renaming in UG
* forgot some
* some sad note about splitter statefulness :'(
* Addressed comments
* ratio -> factor
Co-authored-by: Joel Nothman <joel.nothman@gmail.com>
Co-authored-by: Andreas Mueller <t3kcit@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>
Ikko Ashimine