Update my URL.
Added unit tests for parameters in isotonic regression
Fixed style issues as indicated by pep8
Fixed passing y_max and y_min to IsotonicRegression in test_isotonic
MISC : pep8 and pyflakes on test_isotonic.py
MAINT deprecated ENet param used in doc and benchmark
MAINT remove deprecated parameters (the easy cases)
FIX rm spectral_embedding import from sklearn.cluster
DOC typo
FIX + COSMIT Reuters out-of-core example

* download to scikit_learn_data, not pwd
* copyedited the docs
* rewrote a class as a simple function
* use glob instead of os.walk, the directory structure is flat
* trim output to fit in an 80-column terminal window
* changed some identifiers

XXX there's a bug in the minibatch splitting: I only get 973 test
samples, while a 1000 are requested:

Test set is 973 documents (125 positive)
100 train docs (    14 positive) accuracy: 0.840 in 1.09s (   91 docs/s)
1067 train docs (   166 positive) accuracy: 0.918 in 2.28s (  467 docs/s)
2027 train docs (   310 positive) accuracy: 0.925 in 3.36s (  603 docs/s)
...
FIX py2.6 compat in biclustering example
MAINT remove Counter from fixes; no longer used
[DOC] Remove that RBM's are not implemented yet
Merge pull request #2361 from rolisz/patch-1

[DOC] Remove that RBM's are not implemented yet
COSMIT refactor Hungarian algorithm
DOC while we're at it, link to our own RBM docs
FIX: release reference to X in _tree.splitter
Merge pull request #2363 from glouppe/tree-memory

FIX: release reference to X in _tree.splitter
DOC: fix metrics documentation format

Fixes #2306.
FIX+TST non-consecutive or duplicate vocabulary indices

* added extra checks for custom vocab in CountVectorizer
* added test for custom vocab to check fauly vocabs

Fixes #2357.