* add docstring tests to a travis entry that actually runs tests
* show skipped tests
* better test skipping messages
* use path in walk_packages so we can run the tests from anywhere.
Also try to do better tests for private packages.
* Ensure all submodule classes and functions are tested
* Reverse the for loop nesting to avoid copying
* skip abstract methods, skip setup.configure, skip a lot more that I don't want to fix.
* unused import
* move neighbors up from deprecated to just not covered.
* start work on separating instance-level tests
* minor refactoring / fixes to work without tags
* add clone into check_supervised_y_2d estimator check (which made other checks fail)
* remove duplicate check_estimator_unfitted assert
* add issue reference to whatsnew entry
* added some clones, minor fixes from vene's review
* rename estimator arg to estimator_org to make a visible distinction before and after cloning.
* more renaming for more explicit clones
* org -> orig
* allclose, fix orig stuff
* don't use set_testing_parameters in the checks!
* minor fixes for allclose
* fix some test, add more tests on classes
* added the test using pickles.
* move assert_almost_equal_dense_sparse to utils.testing, rename to assert_allclose_sparse_dense, test it
* make assert_allclose_dense_sparse more stringent
* more allclose fixes
* run test_check_estimator on all estimators
* rename set_testing_parameters to set_checking_parameters so nose doesn't think it's a tests (and I don't want to import stuff from nose as we want to remove it)
* fix in set_checking_parameters so that common tests pass
* more fixes to assert_allclose_dense_sparse
* rename alg to clusterer, don't scream even though I really want to
* ok this is not a pretty strict test that runs check_estimator with and without fitting on an instance. I also check if ``fit`` is called on the instance that is passed.
* simplify test as they didn't help at all
* it works!!! omfg
* run check_estimator clone test only on one of the configs, don't run locally by default
* Add `slow_test` decorator and documentation
* run test_check_estimator only on some estimators
* fix diags in test for older scipy
* fix pep8 and shorten
* use joblib.hash for inequality check because the pickle state machine is weird
* remove stuff to be removed 0.19
* more changes
* remove classes from 0.19 whatsnew
* remove _LearntSelectorMixin
* remove ProjectedGradientNMF, load_lwf_*
* minor fixes
* remove more copy from logistic regression path
* remove lda, qda from __init__.__all__
* remove pg solver in nmf from tests etc
* remove class_weight="auto" from tests
* doctest change for decision_function_shape="ovr"
* remove transfrom from tree test, minor fixes to tree tests
* some fixes in the tests
* undo changes in functions which still allow 1d input...
* also allow 1d in scale
* more test fixes...
* last test fixes in forest and tree
* svm default value change doctest failures
* pep8
* remove more class_weight="auto" stuff
* minor cosmetics in docstrings deprecated / removed behavior.
* say that store_covariance has been moved to __init__ in discriminant_analysis
* Remove Python 2.6 support
Some details about some slightly orthogonal changes:
* Note about cheking safely for nan is likely not valid any more (commit
introducing it is c80ca91b)
* scipy.linalg.qr econ parameter removed since scipy 0.9 in favour of
mode='economic'
* Remove unnecessary libgfortran in conda create command
* Putative fix by setting the random seed
* Revert unintended change
* Reinstate previous logic for checking for NaNs
* Reinstate change in error message
Error messages from Python 2.7 assertRegexp does not contain the
function name, in contrast with Python 3 assertRegex
* use less nose.tools import to simplify future transition to activly developing test suites/runners
* assert_equal -> assert_array_equal in test_feature_hasher_pairs_with_string_values
and one missed ImportError that should be replaced with AttributeError
* test for py2.6 compat with except AttributeError
* fix importing of SkipTest
* force using nose in python2.6 for now
* there was no assert_dict_equal in py2.6. but we can use assert_equal
although failed test will look a little bit ugly
* remove nose imports from doc/datasets
Pipeline and FeatureUnion steps may now be set with set_params, and transformers may be replaced with None to effectively remove them.
Also test and improve ducktyping of Pipeline methods
* ENH show no warning with chi2 of empty feature
* TST better error message when warnings raised
* TST fix test in old Numpy where another warning is issued
Andreas Mueller
Hanmin Qin