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Release notes for Botorch 0.6.6 (#1348)
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Summary:
## Motivation

Self-explanatory

### Have you read the [Contributing Guidelines on pull requests](https://github.com/pytorch/botorch/blob/main/CONTRIBUTING.md#pull-requests)?

Yes

Pull Request resolved: #1348

Reviewed By: saitcakmak

Differential Revision: D38670793

Pulled By: esantorella

fbshipit-source-id: e354630d05451af0e584c6f2573b4f9d1a1d5804
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The release log for BoTorch.

## [0.6.6] - Aug 12, 2022

#### Compatibility
* Require GPyTorch >= 1.8.1 (#1347).

#### New Features
* Support batched models in `RandomFourierFeatures` (#1336).
* Add a `skip_expand` option to `AppendFeatures` (#1344).

#### Other Changes
* Allow `qProbabilityOfImprovement` to use batch-shaped `best_f` (#1324).
* Make `optimize_acqf` re-attempt failed optimization runs and handle optimization
errors in `optimize_acqf` and `gen_candidates_scipy` better (#1325).
* Reduce memory overhead in `MARS.set_baseline_Y` (#1346).

#### Bug Fixes
* Fix bug where `outcome_transform` was ignored for `ModelListGP.fantasize` (#1338).
* Fix bug causing `get_polytope_samples` to sample incorrectly when variables
live in multiple dimensions (#1341).

#### Documentation
* Add more descriptive docstrings for models (#1327, #1328, #1329, #1330) and for other
classes (#1313).
* Expanded on the model documentation at [botorch.org/docs/models](https://botorch.org/docs/models) (#1337).

## [0.6.5] - Jul 15, 2022

#### Compatibility
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