Added code to address issue #1403
In preprocessing.binarize, eliminate zeros from sparse matrices
Added CSC matrix testing for binarize and added type tests.
Update sklearn/metrics/metrics.py

Fixed grammar in docstring.

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Added MinMaxScaler inverse_transform for issue #1552
Dummy commit to trigger travis
P3K fix incorrect import

(it breaks e.g. "import sklearn.metrics" under Python 3.3)
Merge pull request #1562 from kmike/master

Python 3.x fix for sklearn.utils
MOD use safe_asarray instead of np.asarray
MISC update my mailmap
Merge pull request #1561 from kyleabeauchamp/MinMaxScaler_Inverse

Added MinMaxScaler inverse_transform for issue #1552
Merge pull request #1536 from kyleabeauchamp/issue-1403

issue #1403: binarize always converts to CSR format
added links to astropy and scipy workflow guids
Merge pull request #1564 from jaquesgrobler/contributor_guide_links

added links to astropy and scipy workflow guids
MOD address @mblondel's comments
MOD move generating matrix out of the loop
DOC: Fixed wrong link and formatting in decomposition docs
DOC: fixed latex and formatting in SVM docs
Merge pull request #1563 from kuantkid/sparse_knn_graph

KNN graph fails for sparse inputs
DOC more accurate comment in class weight computation