Ax 1.2.4

Bug Fixes

• Fix incorrect feasibility computation when using qLogProbabilityOfFeasibility for MOO — objective weights were applied twice via both the posterior transform and the constraint matrix, leading to incorrect results when only objective thresholds (no outcome constraints) were present (#4935)
• Add defensive issubclass guard for acquisition function dispatch to prevent silent fallthrough for future subclasses of qLogProbabilityOfFeasibility (#4938)
• Require only opt_config metrics for prepare_arm_data to fix ArmEffectsPlot failures when tracking metrics are missing (#4957)

Other changes

• Bumped pinned botorch version to 0.17.2 (#4959). This picks up the following changes from botorch 0.17.2:
  • Support post_processing_func in optimize_with_nsgaii for post-processing optimization results, e.g., to round discrete dimensions to valid values
• Remove unused objective_thresholds parameter from Acquisition.get_botorch_objective_and_transform — the parameter was silently discarded (#4939)
• Add Self type annotations to clone methods for better type inference in subclasses (#4907)
• Heterogeneous search space utilities for transfer learning benchmarks (#4767)
• Migrate benchmarking state dict files for GPyTorch compatibility (#4916)
• Move merge_multiple_curves to Advanced tier in complexity classification (#4949)
• Move infer_reference_point_from_experiment and get_tensor_converter_adapter to ax/service/utils/best_point.py (#4940)
• Replace disclosure triangle with info icon in Bento notebooks for analysis cards (#4956)