Release notes for 0.14.0 (#2841)

Summary:
Pull Request resolved: #2841

As titled. Maintenance release to support Ax 1.0.

Reviewed By: esantorella, Balandat

Differential Revision: D74249813

fbshipit-source-id: 01e66cdfb579df6631a53765547b96f68ac361f0

Changelog for 0.13.0 (#2714)

Summary:
4.5 months between releases leads to a long changelog...

Pull Request resolved: #2714

Reviewed By: esantorella

Differential Revision: D68958765

Pulled By: saitcakmak

fbshipit-source-id: 4bae846119b90f244e2692a18c6a73c5a897c923

CHANGELOG for 0.12.0 release (#2522)

Summary:
Pull Request resolved: #2522

changelog

Reviewed By: saitcakmak

Differential Revision: D62405336

fbshipit-source-id: 44c0fa153fcb5ccc4c6c88c7172731861237517a

Changelog for 0.11.3, pin LinearOperator to 0.5.2 (#2441)

Summary:
Pull Request resolved: #2441

v0.11.2 release failed due to GPyTorch 1.12 requiring LinearOperator 0.5.2, while BoTorch was still pinned to 0.5.1. This diff fixes the LinearOperator version and relabels the changelog for v0.11.3 (v0.11.2 is reserved for the failed release)

Reviewed By: esantorella

Differential Revision: D60064011

fbshipit-source-id: 2e4236b4288a460af9899961d71fa7d7900116b5

Changelog for 0.11.2 (#2440)

Summary:
Pull Request resolved: #2440

A maintenance release to support the upcoming Ax release.

Reviewed By: dme65

Differential Revision: D60060002

fbshipit-source-id: c71b18e6638b30e4c8104262558c1373835899cb

Changelog for v0.11.1 (#2374)

Summary:
Pull Request resolved: #2374

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Reviewed By: esantorella

Differential Revision: D58425343

fbshipit-source-id: 474116a29a3ddaca583498360eea6e0fc9f37c1c

Changelog for 0.11.0 (#2326)

Summary:
Pull Request resolved: #2326

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Reviewed By: dme65

Differential Revision: D56833822

fbshipit-source-id: cb8714cf3c8a7a5703baf493c2aa99ecca83d3e3

Changelog for 0.10

Summary: --

Reviewed By: Balandat

Differential Revision: D54220435

fbshipit-source-id: 736ba921e2c86fd486db115e33bc49c49c05b2c7

Set seed in test_learned_preference_objective to stop it from flaking (…

…#2145)

Summary:
## Motivation

* The test was flaky due to a varying amount of numerical error depending on random inputs, so I set a seed to a random number between 0 and 10
* Changed some data to double precision to avoid a warning

Pull Request resolved: #2145

Test Plan:
*  checked that the test passes for each seed between 0 and 10
*  I confirmed that there are seeds that do cause it to fail
* Increased the number of samples a lot to confirm that numerical error because small when the number of samples is large -- in other words, the error is due to a low number of samples

Reviewed By: Balandat

Differential Revision: D52002349

Pulled By: esantorella

fbshipit-source-id: c1908bdf649db0d51c8e8c2806b9e55258ffb855

Add non-abstract poll_exception method to MyRunner in custom botorch …

…model tutorial (#2087)

Summary:
## Motivation

[Ax https://github.com/pytorch/botorch/issues/1958](https://github.com/facebook/Ax/pull/1958) broke the custom botorch model tutorial by adding an abstract method to the `Runner` class; the tutorial contained a `Runner` subclass that did not override this method. I fixed this by adding a method that returns a `NotImplementedError`.

Pull Request resolved: #2087

Test Plan: Ran tutorial locally: `python scripts/run_tutorials.py -p "$(pwd)" -s -n custom_botorch_model_in_ax.ipynb`

Reviewed By: saitcakmak

Differential Revision: D51046160

Pulled By: esantorella

fbshipit-source-id: dd3b86f379f44be51fda01cbc412559a1e84b475