Release v0.11

[basnijholt]

Since 0.10.0 we fixed the following issues:

• #273 add minimum number of points parameter to AverageLearner
• #225 Error on windows: daemonic processes are not allowed to have children Runner bug
• #267 Make Runner work with unhashable points Runner enhancement
• #249 ipyparallel fails in Python 3.8 bug
• #258 Release v0.10
• #250 live_info looks is badly formatted in Jupyterlab
• #233 SKOptLearner doesn't work for multi variate domain
• #184 Time-based stop Runner enhancement
• #206 Does not work with lambda functions

and merged the following Pull requests:

• #278 prevent ImportError due to scikit-optimize and sklearn incompatibility
• #274 AverageLearner: implement min_npoints AverageLearner enhancement
• #268 make the Runner work with unhashable points Runner enhancement
• #264 make learners picklable
• #270 minimally require ipyparallel 6.2.5
• #261 fix docs build and pin pyviz_comms=0.7.2
• #263 add support for loky
• #245 Optimize circumsphere and triangulation.py

and closed

• #266 Make SequenceLearner points hashable by passing the sequence to the function.
• #169 add building of test documentation of RTD
• #262 test what happens in CI when trying to force-push

I say we do a new release because

• we change the default behavior and use a loky executor
• changed the way a runner stores points
• learners pickled before make learners picklable #264, won't be unpickled correctly
• we are before v1 and can do whatever we want

Also, basnijholt/adaptive-scheduler#39 is blocked from being merged because it relies on some new features.

@akhmerov and @jbweston, are you OK with releasing v0.11?

[basnijholt]

Closed https://github.com/python-adaptive/adaptive/tree/v0.11.0