Release 0.13.3
This release reintroduces ProbabilityOfImprovement (#638) and Pareto diverse sample method (#643), which were temporarily removed in 0.13.2.
Note that the minimum supported TensorFlow version has been raised to 2.5.
New features
Batch Expected Improvement (#641, #653)
Portfolio method for Batch BO (#651, #659, #663)
Multifidelity modeling (#621, #654)
Explicit constraints (#656, #660)
Improvements
Allow scipy optimizer to be changed (#655)
Allow arbitrary dataset/model tags (#668) — note that this may break type checking for existing code
Slight improvements to synthetic objective functgions (#671)
Build changes
Support latest gpflow and gpflux (#649)
Support more recent tox versions (#669)
Full Changelog: v0.13.1...v0.13.3