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
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?
Since 0.10.0 we fixed the following issues:
and merged the following Pull requests:
and closed
I say we do a new release because
lokyexecutorAlso, 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?