ENH : Gaussian process for arbitrary-dimensional output spaces by @JohntheBear
ENH : simplify input checking in GP
update what's new
DOC improve biclustering docstrings

I had to figure out by experimentation what the methods were doing.
ENH sparse matrix support in pairwise + optimizations
ENH optimize NMF inner loop

The call to np.maximum was taking 20% of the time.
Multiplying by Hn > 0 is about twice as fast.

This reverts commit 6ef08cfac27cda790a5d0d2dd2da82bf744905eb.
FIX max_features in CountVectorizer

Fixes #2443: max_features would be selected based on document frequency
rather than term frequency.
COSMIT pyflakes feature_extraction.text tests
DOC error in feature_extraction.text docstrings

Spotted by @madisonmay. Fixes #2486.
another speedup attempt for index.html: carousel images to use thumbnails instead, 1 blocking js removed for page (sidebar.js)
cleanup changes
remove paren
ENH: small optimization in PresortBestSplitter
add lossless image compression for docbuilding machine
switch species_kde to thumbnail
logo lossless compressions
Fix typo in the Gaussian PDF

Hopefully, this same issue doesn't exist in the code.

I would also feel more comfortable if mu_y and sigma_y were mu_iy and sigma_iy, respectively, seeing as there are separate distributions per feature, per class.
Merge pull request #2489 from samuela/patch-1

Fix typo in the Gaussian PDF in Naive Bayes docs
add coverage test for travis
coverall added