* 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
* Added predict method to class OneClassSVM
- This method overrides the default behaviour to only return integer class values.
* Test for the change in OneClassSVM predict method
- small addition to test that the predicted result is integer
* Changed test to check for intp datatype
* Updated whats new
* 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
* MNT Removing more deprecated stuff for v0.18
* MNT+TST Remove support for loss='l2'
* MNT Remove support for precompute='auto' for ElasticNet
* FIX/TST precompute=auto should raise a generic message
* Make KernelCenterer a _pairwise operation
Replicate solution to 9a520779c2 except that `_pairwise` should always be `True` for `KernelCenterer` because it's supposed to receive a Gram matrix. This should make `KernelCenterer` usable in `Pipeline`s.
Happy to add tests, just tell me what should be covered.
* Adding test for PR #6900
* Simplifying imports and test
* updating changelog links on homepage (#6901)
* first commit
* changed binary average back to macro
* changed binomialNB to multinomialNB
* emphasis on "higher return values are better..." (#6909)
* fix typo in comment of hierarchical clustering (#6912)
* [MRG] Allows KMeans/MiniBatchKMeans to use float32 internally by using cython fused types (#6846)
* Fix sklearn.base.clone for all scipy.sparse formats (#6910)
* DOC If git is not installed, need to catch OSError
Fixes#6860
* DOC add what's new for clone fix
* fix a typo in ridge.py (#6917)
* pep8
* TST: Speed up: cv=2
This is a smoke test. Hence there is no point having cv=4
* Added support for sample_weight in linearSVR, including tests and documentation
* Changed assert to assert_allclose and assert_almost_equal, reduced the test tolerance
* Fixed pep8 violations and sampleweight format
* rebased with upstream
Tashay Green
Hanmin Qin