* DOC: improve docstring form 'normalize'
* DOC: improve docstring for 'normalize'
* fix double backticks in coordinate descent
* add missing path reference
* fix line lengths
* align language in docstring across files in linear_model
* Return correct ridge parameter alpha_ and lambda_ for regression
* Add test for coefficients and fix style
* Move sklearn.utils.testing to a more reasonable position.
* Make flake8 happy
* Code cleanup and entry in whats_new.rst
* doc: state that parameter C can receive an array
* add more details in doc, and check the dim of C
* doc: state that parameter C can receive an array
* add more details in doc, and check the dim of C
* a little modification
* minor modifications and make line length less than 79 characters
* remove the backslash and correct typos
* meet PEP8's E128 requirement
* use .format and add a test
* ENH Accept keyword parameters to hyperparameter search fit methods
Deprecate ``fit_params`` as a constructor argument to the hyperparameter search classes and instead accept keyword parameters to the ``fit`` methods. This makes the ``fit`` methods of these functions conform to the Estimator API and allows the use of hyperparameter search functions in other CV utility functions such as ``cross_val_predict``.
* CR: Expanded tests, remove deprecated use in Ridge
* Make tests consistent in Python 2 and 3
ensure that estimators only add private attributes and attributes with
trailing _
in cases when existing estimators don't follow this new rule, we deprecate the
attributes and make them follow this rule
* Convert ElasticNet Multioutput to floating.
* Remove all the float64 coordinate_descent.
* Add the necessary cblas for use fused types.
* Fix zeros dtype issue in cd_fast.
* Remove cblas files.
* Change random seed to let test_lle_simple_grid pass.
* Add tests to check floatting issue for MultiTaskElasticNet.
* Update cblas_sscal.c
* 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
* addressed comments in the PR about parameters in check_array
* update the test case for the evaluation of estimators with pandas series
* bug fix, need to check for *not* None explicitly
* updated with isinstance check if the documentation says there is acceptance of floats
* ran pep8 linter on modified files
* moving the test case to estimators_check
* add a predict function into the testing pandas.Series class
* avoid running anything beyond the newly added meta checks
* check if pandas is installed before running the specific test
* changed the order of the try-catch to check for sample_weight param beforehand
* pass on import error rather than printing something to std out
* improve test case naming and pd.Series check in the bad estimator class
* address a pep8 linter error with unused import
* pep8 warning disabled for potential unused import
* throw a warning when SkipTest is raised
* add a SkipTestWarning
* updated the whats_new.rst with this issue
* rebase and fix a spacing issue
* initial commit for return_std
* initial commit for return_std
* adding tests, examples, ARD predict_std
* adding tests, examples, ARD predict_std
* a smidge more documentation
* a smidge more documentation
* Missed a few PEP8 issues
* Changing predict_std to return_std #1
* Changing predict_std to return_std #2
* Changing predict_std to return_std #3
* Changing predict_std to return_std final
* adding better plots via polynomial regression
* trying to fix flake error
* fix to ARD plotting issue
* fixing some flakes
* Two blank lines part 1
* Two blank lines part 2
* More newlines!
* Even more newlines
* adding info to the doc string for the two plot files
* Rephrasing "polynomial" for Bayesian Ridge Regression
* Updating "polynomia" for ARD
* Adding more formal references
* Another asked-for improvement to doc string.
* Fixing flake8 errors
* Cleaning up the tests a smidge.
* A few more flakes
* requested fixes from Andy
* Mini bug fix
* Final pep8 fix
* pep8 fix round 2
* Fix beta_ to alpha_ in the comments
* 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
* Fix bug 7778
* Add test_lasso_lars_vs_R_implementation
* Add a space to match the indentation
* Solve E501 line too long (80 > 79 characters)
* assert_array_almost_equal up to 12 decimals
* Tiny modification for increasing performance
* Update what's new page
* Trying to solve conflicts
* Solve conflict in doc/whats_new.rst
* Rewriting of cythonization in setup.py
By using Cython.Build.cythonize and switching between .c and .pyx files
as appropriate cython dependencies are correctly taken into account.
* Use cythonize once on the root config rather than in each subpackage
* Fix for Windows
* Remove caching from Travis
Cython dependencies are taken care of by Cython.Build.cythonize and
based on file timestamps, so .C and .so files will always be rebuild
from scratch on each build in Travis.
* Specify .pyx in setup.files for cython generated extensions
More natural this way. Tweak the extensions to generate from .c and .cpp
files for a release.
* COSMIT Remove commented out code
* Check cython version is greater than 0.23
* COSMIT better names for functions
* flake8 fix (imported module not at top of file)
* Install cython 0.23 for Python 2.6
now that cython >= 0.23 requirement is enforced in setup.py
* Use module constant for minimum required cython version
* Fix Travis install.sh
No easy way to put comments inside multi-line command
* 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
Naoya Kanai