In order to fix#11408, this swaps `joblib` and `_joblib`. It however, allows users to access joblib's `Memory` or `Parallel` functionality without accessing `sklearn.externals._joblib` by importing `Memory`, `Parallel`, etc. into `sklearn.utils`.
* copy not passed from linear_model/base.py:_pre_fit to _preprocess_data in the sparse case
* Pass copy as False for sparse matrix to _preprocess_data
* Add comment with reason for copy=False
* add test for _preprocess_data and make it consistent
* fix pep8
* add doc, cast systematically y in X.dtype and update test_coordinate_descent.py
* test if input values don't change with copy=True
* test if input values don't change with copy=True #2
* fix doc
* fix doc #2
* fix doc #3
* 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
* 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
* insert versionadded versionchanged directives in docstrings for 0.18
indicate where exception classes were moved from
* moved versionadded in the proper places
ENH NonBLASDotWarning -> EfficiencyWarning; Improve error message
DOC Add exceptions module to modules/classes.rst
MAINT Move ConvergenceWarning, UndefinedMetricWarning et al into exceptions
MAINT Remove ChangedBehaviorWarning from base
DOC/FIX Improve DataConversionWarning's docstring
Residues can be empty if the rank of X does not satisfy the
conditions described in scipy.linalg.lstsq documentation.
As residues are not that useful (i.e. we're not doing
stat testing), this property is deprecated and will be
removed in sklearn 0.19.
fix dtype check, add test. unfriend all multi-output estimators on facebook.
try to fix what is happening to y (by doing nothing to y)
make test work...
Make everything accept object y or say "invalid label"
fix multioutput linear models
add test for sensible error message.
DOC max_iterations -> max_iter. Make it consistent with kmeans
MAINT Replace the deprecated dx parameter with d in the docstrings
MAINT Deprecation warning for max_iterations parameter.
Rohan Lekhwani
Hanmin Qin