Releases
v0.11.1
New Features
Implement qLogNParEGO
(#2364 ).
Support picking best of multiple fit attempts in fit_gpytorch_mll
(#2373 ).
Deprecations
Many functions that used to silently ignore arbitrary keyword arguments will now
raise an exception when passed unsupported arguments (#2327 , #2336 ).
Remove UnstandardizeMCMultiOutputObjective
and UnstandardizePosteriorTransform
(#2362 ).
Bug Fixes
Remove correlation between the step size and the step direction in sample_polytope
(#2290 ).
Fix pathwise sampler bug (#2337 ).
Explicitly check timeout against None
so that 0.0
isn't ignored (#2348 ).
Fix boundary handling in sample_polytope
(#2353 ).
Avoid division by zero in normalize
& unnormalize
when lower & upper bounds are equal (#2363 ).
Update sample_all_priors
to support wider set of priors (#2371 ).
Other Changes
Clarify is_non_dominated
behavior with NaN (#2332 ).
Add input constructor for qEUBO
(#2335 ).
Add LogEI
as a baseline in the TuRBO
tutorial (#2355 ).
Update polytope sampling code and add thinning capability (#2358 ).
Add initial objective values to initial state for sample efficiency (#2365 ).
Clarify behavior on standard deviations with <1 degree of freedom (#2357 ).
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