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@sdaulton sdaulton released this 10 Aug 22:11
· 434 commits to main since this release
v0.9.2
0a1cfbe

This release fixes bugs that affected Ax's modular BotorchModel and silently ignored outcome constraints due to naming mismatches.

Bug fixes

  • Hot fix (#1973) for a few issues:
    • A naming mismatch between Ax's modular BotorchModel and the BoTorch's acquisition input constructors, leading to outcome constraints in Ax not being used with single-objective acquisition functions in Ax's modular BotorchModel. The naming has been updated in Ax and consistent naming is now used in input constructors for single and multi-objective acquisition functions in BoTorch.
    • A naming mismatch in the acquisition input constructor constraints in qNoisyLogExpectedImprovement, which kept constraints from being used.
    • A bug in compute_best_feasible_objective that could lead to -inf incumbent values.
  • Fix setting seed in get_polytope_samples (#1968)

Other changes

  • Merge SupervisedDataset and FixedNoiseDataset (#1945).
  • Constrained tutorial updates (#1967, #1970)
  • Resolve issues with missing pytorch binaries with py3.11 on Mac (#1966)
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