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add changelog entry for 1.2.4 #4943

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581a649
Bump pinned botorch version to 0.17.2 (#4975)
sdaulton Mar 5, 2026
cb6a45c
add changelog entry for 1.2.4 (#4943)
sdaulton Mar 5, 2026
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18 changes: 18 additions & 0 deletions CHANGELOG.md
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@@ -1,6 +1,24 @@
# Changelog

The release log for Ax.
## [1.2.4] -- Mar 4, 2026

#### 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](https://github.com/pytorch/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)

## [1.2.3] -- Feb 19, 2026

#### Breaking Changes
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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -20,7 +20,7 @@ classifiers = [
dynamic = ["version"]

dependencies = [
"botorch[pymoo]>=0.17.0,<0.17.1dev9999",
"botorch[pymoo]>=0.17.2,<0.17.3dev9999",
"jinja2", # also a Plotly dep
"pandas",
"scipy",
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