ENH: support float value for max_features
DOC: if float, then max_features is a percentage
ENH: Defer parameter checking of trees
DOC: GBRT max_features
TEST: added test
ENH: use numbers
FIX: numpy integers
DOC FIX foating point issue
Merge pull request #1730 from arjoly/doc-feature-selection

[MRG] DOC FIX foating point issue
TST FIX random state for LibLinear sparse tests
ENH add randomized hyperparameter optimization
DOC fixed links in whatsnew
PEP8
Merge pull request #1712 from glouppe/tree-maxfeatures

[MRG] Support float values for max_features
What's new: float values support for max_features
What's new: fix indentation
Update coordinate_descent.py

Reverting _dense_fit to explicitly check precompute == True rather than just looking at its truthiness.

Should prevent unwanted precomputing, see https://github.com/scikit-learn/scikit-learn/issues/1734
Merge pull request #1736 from jamestwebber/patch-1

Update coordinate_descent.py
ENH set min_df in fe.text back to 1

2 is simply too confusing for users, since it causes trivial examples
to fail.
DOC improve mini-batch k-means narrative