From 4ff6aaeebf999f6c2b23a368dec1b34a99ef931c Mon Sep 17 00:00:00 2001 From: Max Balandat Date: Thu, 2 Nov 2023 15:34:06 -0700 Subject: [PATCH] Changelog for v0.9.3 (#2080) Summary: Pull Request resolved: https://github.com/pytorch/botorch/pull/2080 Reviewed By: esantorella Differential Revision: D50936897 Pulled By: Balandat fbshipit-source-id: 2cd22c1bc59663c0c53087b763175a701b7eaff5 --- CHANGELOG.md | 42 ++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 40 insertions(+), 2 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 2bab129a92..7242e78637 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -2,6 +2,44 @@ The release log for BoTorch. + +## [0.9.3] - Nov 2, 2023 + +### Highlights +* Additional "Log" acquisition functions for multi-objective optimization with better numerical behavior, which often leads to significantly improved BO performance over their non-"Log" counterparts: + * `qLogEHVI` (#2036). + * `qLogNEHVI` (#2045, #2046, #2048, #2051). + * Support fully Bayesian models with `LogEI`-type acquisition functions (#2058). +* `FixedNoiseGP` and `FixedNoiseMultiFidelityGP` have been deprecated, their functionalities merged into `SingleTaskGP` and `SingleTaskMultiFidelityGP`, respectively (#2052, #2053). +* Removed deprecated legacy model fitting functions: `numpy_converter`, `fit_gpytorch_scipy`, `fit_gpytorch_torch`, `_get_extra_mll_args` (#1995, #2050). + +#### New Features +* Support multiple data fidelity dimensions in `SingleTaskMultiFidelityGP` and (deprecated) `FixedNoiseMultiFidelityGP` models (#1956). +* Add `logsumexp` and `fatmax` to handle infinities and control asymptotic behavior in "Log" acquisition functions (#1999). +* Add outcome and feature names to datasets, implement `MultiTaskDataset` (#2015, #2019). +* Add constrained Hartmann and constrained Gramacy synthetic test problems (#2022, #2026, #2027). +* Support observed noise in `MixedSingleTaskGP` (#2054). +* Add `PosteriorStandardDeviation` acquisition function (#2060). + +#### Bug fixes +* Fix input constructors for `qMaxValueEntropy` and `qMultiFidelityKnowledgeGradient` (#1989). +* Fix precision issue that arises from inconsistent data types in `LearnedObjective` (#2006). +* Fix fantasization with `FixedNoiseGP` and outcome transforms and use `FantasizeMixin` (#2011). +* Fix `LearnedObjective` base sample shape (#2021). +* Apply constraints in `prune_inferior_points` (#2069). +* Support non-batch evaluation of `PenalizedMCObjective` (#2073). +* Fix `Dataset` equality checks (#2077). + +#### Other changes +* Don't allow unused `**kwargs` in input_constructors except for a defined set of exceptions (#1872, #1985). +* Merge inferred and fixed noise LCE-M models (#1993). +* Fix import structure in `botorch.acquisition.utils` (#1986). +* Remove deprecated functionality: `weights` argument of `RiskMeasureMCObjective` and `squeeze_last_dim` (#1994). +* Make `X`, `Y`, `Yvar` into properties in datasets (#2004). +* Make synthetic constrained test functions subclass from `SyntheticTestFunction` (#2029). +* Add `construct_inputs` to contextual GP models `LCEAGP` and `SACGP` (#2057). + + ## [0.9.2] - Aug 10, 2023 #### Bug fixes @@ -13,8 +51,8 @@ The release log for BoTorch. #### Other changes * Merge `SupervisedDataset` and `FixedNoiseDataset` (#1945). -* Constrained tutorial updates (#1967, #1970) -* Resolve issues with missing pytorch binaries with py3.11 on Mac (#1966) +* Constrained tutorial updates (#1967, #1970). +* Resolve issues with missing pytorch binaries with py3.11 on Mac (#1966). ## [0.9.1] - Aug 1, 2023