* Add a warning for GP Regressor if optimized hyperparameter matches one of its bounds
* pep8 fix
* Add a test and use np.isclose
* More verbose warning message
* remove print
* Ad a more precise warning and update tests
* fix warning and update tests
* fix test dims
* fix multiple dimensions test
* fix pep8
* change variable name
* add warning for GP classifier
* tests for gpc
* pep8 fix
* put the warning in a function
* add comment to warning function
* update name in gpr and gpc
* update whats_new
* update whats_new
* update whats_new
* remove merge conflict text
* add WhiteKernel
* put the log in the last version
* normalize_components in sparsePCA
* changed default strategy of Dummy to prior and removed outputs_2d ttribute
* removed usage of None to drop estimator in ensemble and behaviour param of IsolationForest
* remove support for drop=None in Voting
* removed some warning decorators
* remove feature_extraction.extract_patches
* removed VectorizerMixin and copy parameter from TFIDFVectorizer
* kernel.set_params now raises attributeerror
* removed fig from plot_partial_dependence
* removed iid parameter of search estimators
* removed brier_scorer
* raise error in split when shuffle is False and random_state is not None
* removed MultiOutputEstimator
* removed base classes of NaiveBayes
* removed drop from pipeline
* removed utils in random_projection
* removed presort and classes_ in trees
* flake8
* fixed some tests
* flake
* fixed docstring
* fixed other one
* some left
* mmmm
* Initial work for WIP pull request
* First commit of full solution and new tests
* Changes from PR review
* Updated changelog and normalize_y description
* Updating v0.23.rst with upstream master
* Small update to whatsnew
Co-authored-by: Joel Nothman <joel.nothman@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
* If self.kernel_ is None then self.kernel_ is set to RBFKernel in predict() as fit(). Fixes#6573
* xxx_ attributes can not be altered outside fit. Removing self.kernel_ from predict() and using previously implemented self.kernel attribute.
* Cleanup and add non-regression-test
* FIX: better error message for GPR
* TST: added tests for error message
* FIX: correct error message and simplified tests
* DOC: updated docstring for GPR
* FIX: pass float as value for alpha
* Raise original error after modification to preserve traceback
Amend test accordingly
* Make tests runnable with pytest without error.
Errors were due to pytest quirks with (deprecated) yield support.
* Add pytest build on Travis
and tweak pytest settings in setup.cfg
* Tweak comment
* 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
* Make sure set_params does not break clone on kernels
For example, in kernels such as RBF, using set_params with a
length_scale of different length, used to break clone because of
the non-trivial modification of length_scale in the constructor.
This PR resolves this by moving this logic to __call__ and
making hyperparameter attributes properties.
* Fix tests by using get_params and implement __eq__ for Hyperparameter
* Explain XXX
* Check that hyperparameters are equal after non-trivial set_params
* Refactor into _check_length-scale
Maren Westermann