ENH micro-optimize gradient boosting
DOC: Explain prediction when decision_function is zero

LogisticRegression and liblinear's predictions differ when the
decision function is zero. Explain why and what to do in that case.

Fixes #3600 (by documenting the won't fix status).
MAINT CI: reflect CLI change in wheelhouse-uploader tool
OPT: Prevent iterating across n_features twice
Merge pull request #3653 from MechCoder/minor_opt

[MRG] OPT: Prevent iterating across n_features twice
DOC restructure data transformation user guide
Merge pull request #3587 from jnothman/transforms-doc

[MRG] DOC restructure data transformation user guide
FIX #3370: better lars alpha path inequality checks for 32 bit support
ENH comment on drop for good not being triggered in the tests
DOC fix broken URL

+ remove trailing whitespace
adding value error for partial fit with auto weights
adding note to whats_new.rst
removing miss-merge and adding github
adding a more descriptive error message
adding escape characters to regex
typos: remove extra s's

grammatical agreement
tweak to more natural version
Fix wrong attribute doc in BaggingRegressor.
Merge pull request #3667 from ajschumacher/patch-6

typos: remove extra s's
Sample weights for gradient boosting

Exponential loss for classification + predict_proba refactoring