Compatibility release

[0.8.1] - Jan 5, 2023

Highlights

• This release includes changes for compatibility with the newest versions of linear_operator and gpytorch.
• Several acquisition functions now have "Log" counterparts, which provide better
  numerical behavior for improvement-based acquisition functions in areas where the probability of
  improvement is low. For example, LogExpectedImprovement (#1565) should behave better than
  ExpectedImprovement. These new acquisition functions are
  • LogExpectedImprovement (#1565).
  • LogNoisyExpectedImprovement (#1577).
  • LogProbabilityOfImprovement (#1594).
  • LogConstrainedExpectedImprovement (#1594).
• Bug fix: Stop ModelListGP.posterior from quietly ignoring Log, Power, and Bilog outcome transforms (#1563).
• Turn off fast_computations setting in linear_operator by default (#1547).

Compatibility

• Require linear_operator == 0.3.0 (#1538).
• Require pyro-ppl >= 1.8.4 (#1606).
• Require gpytorch == 1.9.1 (#1612).

New Features

• Add eta to get_acquisition_function (#1541).
• Support 0d-features in FixedFeatureAcquisitionFunction (#1546).
• Add timeout ability to optimization functions (#1562, #1598).
• Add MultiModelAcquisitionFunction, an abstract base class for acquisition functions that require multiple types of models (#1584).
• Add cache_root option for qNEI in get_acquisition_function (#1608).

Other changes

• Docstring corrections (#1551, #1557, #1573).
• Removal of _fit_multioutput_independent and allclose_mll (#1570).
• Better numerical behavior for fully Bayesian models (#1576).
• More verbose Scipy minimize failure messages (#1579).
• Lower-bound noise inSaasPyroModel to avoid Cholesky errors (#1586).

Bug fixes

• Error rather than failing silently for NaN values in box decomposition (#1554).
• Make get_bounds_as_ndarray device-safe (#1567).