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[MRG+1] Added support for sample_weight in linearSVR, including tests and documentation. Fixes #6862 (#6907)

* Make KernelCenterer a _pairwise operation

Replicate solution to https://github.com/scikit-learn/scikit-learn/commit/9a520779c 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

54444 of 57622 relevant lines covered (94.48%)

0.94 hits per line

Uncovered Existing Lines

Lines Coverage ∆ File
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 /home/travis/sklearn_build_ubuntu/scikit-learn/sklearn/svm/tests/test_svm.py
Jobs
ID Job ID Ran Files Coverage
1 18984.1 (DISTRIB="ubuntu" PYTHON_VERSION="2.7" CYTHON_VERSION="0.23.4" CACHED_BUILD_DIR="$HOME/sklearn_build_ubuntu" COVERAGE=true) 0
94.48
 Travis Job 18984.1
Source Files on build 18984
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