Changelog for v0.7.2 (#1424)

Summary: Pull Request resolved: #1424

Reviewed By: mpolson64

Differential Revision: D39853181

Pulled By: mpolson64

fbshipit-source-id: 2a04b5918cbddf654f7f36561915ac87c893cadc

CHANGELOG.md

@@ -2,6 +2,36 @@
 
 The release log for BoTorch.
 
+## [0.7.2] - Sep 27, 2022
+
+#### New Features
+* A full refactor of model fitting methods (#1134).
+  * This introduces a new `fit_gpytorch_mll` method that multiple-dispatches
+    on the model type. Users may register custom fitting routines for different
+    combinations of MLLs, Likelihoods, and Models.
+  * Unlike previous fitting helpers, `fit_gpytorch_mll` does **not** pass
+   `kwargs` to `optimizer` and instead introduces an optional `optimizer_kwargs`
+    argument.
+  * When a model fitting attempt fails, `botorch.fit` methods restore modules to their
+    original states.
+  * `fit_gpytorch_mll` throws a `ModelFittingError` when all model fitting attempts fail.
+  * Upon returning from `fit_gpytorch_mll`, `mll.training` will be `True` if fitting failed
+    and `False` otherwise.
+* Allow custom bounds to be passed in to `SyntheticTestFunction` (#1415).
+
+#### Deprecations
+* Deprecate weights argument of risk measures in favor of a `preprocessing_function` (#1400),
+* Deprecate `fit_gyptorch_model`; to be superseded by `fit_gpytorch_mll`.
+
+#### Other Changes
+* Support risk measures in MOO input constructors (#1401).
+
+#### Bug Fixes
+* Fix fully Bayesian state dict loading when there are more than 10 models (#1405).
+* Fix `batch_shape` property of `SaasFullyBayesianSingleTaskGP` (#1413).
+* Fix `model_list_to_batched` ignoring the `covar_module` of the input models (#1419).
+
+
 ## [0.7.1] - Sep 13, 2022
 
 #### Compatibility