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
Initial (cleaned) implementation of VBMFMM in 3D.

Implements variational inference for the 3D von-Mises Fisher mixture
model with conjugate priors on the cluster means, precisions, and
weights.
TST: Added basic tests for the 3D VBMFMM.
Added example for VBMFMM in 3D.
Generalized model to dimensions other than 3.

Did not generalize tests since I know of no way to sample from the vMF
distribution in other dimensions.
PEP8
Better variable names in the precision estimation.