Changelog updates for botorch 0.6.5 (#1298)

Summary:
Pull Request resolved: #1298

Changelog for 0.6.5

Reviewed By: saitcakmak

Differential Revision: D37797684

fbshipit-source-id: c3cc22c09af19dca1879308517bd47cc10b6cb94

CHANGELOG.md

@@ -2,6 +2,53 @@
 
 The release log for BoTorch.
 
+## [0.6.5] - Jul 15, 2022
+
+#### Compatibility
+* Require PyTorch >=1.10 (#1293).
+* Require GPyTorch >=1.7 (#1293).
+
+#### New Features
+* Add MOMF (Multi-Objective Multi-Fidelity) acquisition function (#1153).
+* Support `PairwiseLogitLikelihood` and modularize `PairwiseGP` (#1193).
+* Add in transformed weighting flag to Proximal Acquisition function (#1194).
+* Add `FeasibilityWeightedMCMultiOutputObjective` (#1202).
+* Add outcome_transform to `FixedNoiseMultiTaskGP` (#1255).
+* Support Scalable Constrained Bayesian Optimization (#1257).
+* Support `SaasFullyBayesianSingleTaskGP` in `prune_inferior_points` (#1260).
+* Add MARS tutorial (#1305).
+
+#### Other Changes
+* Add `Bilog` outcome transform (#1189).
+* Make `get_infeasible_cost` return a cost value for each outcome (#1191).
+* Modify risk measures to accept `List[float]` for weights (#1197).
+* Support `SaasFullyBayesianSingleTaskGP` in prune_inferior_points_multi_objective (#1204).
+* BotorchContainers and BotorchDatasets: Large refactor of the original `TrainingData` API to allow for more diverse types of datasets (#1205, #1221).
+* Proximal biasing support for multi-output `SingleTaskGP` models (#1212).
+* Improve error handling in `optimize_acqf_discrete` with a check that `choices` is non-empty  (#1228).
+* Handle `X_pending` properly in `FixedFeatureAcquisition` (#1233, #1234).
+* PE and PLBO support in Ax (#1240, #1241).
+* Remove `model.train` call from `get_X_baseline` for better caching (#1289).
+
+#### Bug Fixes
+* Update `get_gp_samples` to support input / outcome transforms (#1201).
+* Make `task_feature` as required input in `MultiTaskGP.construct_inputs` (#1246).
+* Fix CUDA tests (#1253).
+* Fix `FixedSingleSampleModel` dtype/device conversion (#1254).
+* Prevent inappropriate transforms by putting input transforms into train mode before converting models (#1283).
+* Fix `sample_points_around_best` when using 20 dimensional inputs or `prob_perturb` (#1290).
+* Skip bound validation in `optimize_acqf` if inequality constraints are specified (#1297).
+
+#### Documentation
+* Add a note about observation noise in the posterior in `fit_model_with_torch_optimizer` notebook (#1196).
+* Fix custom botorch model in Ax tutorial to support new interface (#1213).
+* Update MOO docs (#1242).
+* Add SMOKE_TEST option to MOMF tutorial (#1243).
+* Fix `ModelListGP.condition_on_observations`/`fantasize` bug (#1250).
+* Replace space with underscore for proper doc generation (#1256).
+* Update PBO tutorial to use EUBO (#1262).
+
+
 ## [0.6.4] - Apr 21, 2022
 
 #### New Features