Google-vizier

Latest version: v0.1.16

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0.1.10

What's Changed
* Clarify that in multi-worker situations, workers are expected to provide `client_id` in the `suggest()` call, and not during client construction. by copybara-service in https://github.com/google/vizier/pull/875
* Expose `DesignerPolicy` in `algorithms` init file by copybara-service in https://github.com/google/vizier/pull/894
* Update Vizier version to 0.1.10 by copybara-service in https://github.com/google/vizier/pull/896


**Full Changelog**: https://github.com/google/vizier/compare/v0.1.9...v0.1.10

0.1.9

What's Changed
* Add PlotElements and BenchmarkRecord for easy plotting. by copybara-service in https://github.com/google/vizier/pull/878


**Full Changelog**: https://github.com/google/vizier/compare/v0.1.8...v0.1.9

0.1.8

What's Changed
* 'all' pip README update by copybara-service in https://github.com/google/vizier/pull/851


**Full Changelog**: https://github.com/google/vizier/compare/v0.1.7...v0.1.8

0.1.7

What's Changed
* Predict Kumamon individual metrics. by copybara-service in https://github.com/google/vizier/pull/739
* Add GP Bandit tests for VizierSearcher by copybara-service in https://github.com/google/vizier/pull/750
* Make the number of unpadded features a dynamic arg for acquisition function optimization so that padding/masking the feature dimension avoids retracing. by copybara-service in https://github.com/google/vizier/pull/757
* Add a Converter from trials to ContinuousAndCategoricalArray. by copybara-service in https://github.com/google/vizier/pull/754
* Minor cleanups by copybara-service in https://github.com/google/vizier/pull/788
* Use Categorical kernel in GP bandit. by copybara-service in https://github.com/google/vizier/pull/784
* Convert vectorized optimizers to operate on continuous and categorical data. by copybara-service in https://github.com/google/vizier/pull/793
* Follow up to the VectorizedBase refactor with a couple fixes: by copybara-service in https://github.com/google/vizier/pull/797
* Add arch gym to highlights by copybara-service in https://github.com/google/vizier/pull/804
* Add the wide LCB and delayed trust region application options to the acquisition-based trust region. by copybara-service in https://github.com/google/vizier/pull/805
* Silence some pytype errors. by copybara-service in https://github.com/google/vizier/pull/820
* Minor updates to pythia docs, string reps, and TODOs by copybara-service in https://github.com/google/vizier/pull/821
* Internal change. by copybara-service in https://github.com/google/vizier/pull/829
* Advance `attrs` version to `23.1.0` by copybara-service in https://github.com/google/vizier/pull/830
* Add batching/ensembling support for mean_fn. by copybara-service in https://github.com/google/vizier/pull/834


**Full Changelog**: https://github.com/google/vizier/compare/v0.1.6...v0.1.7

0.1.6

What's Changed
* Fix qUCB test following a change to TFP. Rename qUCB parameter "coefficient" for consistency with UCB. by copybara-service in https://github.com/google/vizier/pull/691
* Bug fix/add missing test cases for Optax ARD optimizer. by copybara-service in https://github.com/google/vizier/pull/692
* Add option to pad number of observations and dimensions of inputs. by copybara-service in https://github.com/google/vizier/pull/627
* Pyvizier needs to include one more definition. by copybara-service in https://github.com/google/vizier/pull/693
* Update Adaptive Ensembling to use observation probs. by copybara-service in https://github.com/google/vizier/pull/695
* Clarify jit_loop arg in vectorized_base.py by copybara-service in https://github.com/google/vizier/pull/705
* Fix the flag error in runtime context. https://github.com/google/vizier/issues/698 by copybara-service in https://github.com/google/vizier/pull/700
* Update Basic Vizier documentation by copybara-service in https://github.com/google/vizier/pull/716
* Update all Jax requirements to avoid breaking Github workflows by copybara-service in https://github.com/google/vizier/pull/722
* Disable benchmark tests for now due to Dopamine failures. by copybara-service in https://github.com/google/vizier/pull/730
* Remove 3.x from github workflow by copybara-service in https://github.com/google/vizier/pull/731


**Full Changelog**: https://github.com/google/vizier/compare/v0.1.5...v0.1.6

0.1.5

What's Changed
* Create input warping based on Kumaraswamy CDF. by copybara-service in https://github.com/google/vizier/pull/562
* Fix Numpy dtype error in acquisitions_test. by copybara-service in https://github.com/google/vizier/pull/605
* Add a test to the RandomDesigner to confirm that it respects LOG scaling. by copybara-service in https://github.com/google/vizier/pull/596
* Fix Eagle slowness for large studies by copybara-service in https://github.com/google/vizier/pull/609
* Add typing to output warping by copybara-service in https://github.com/google/vizier/pull/613
* Use time as seed by copybara-service in https://github.com/google/vizier/pull/614
* Fix pytype failures related to teaching pytype about NumPy scalar types. by copybara-service in https://github.com/google/vizier/pull/604
* Add RayTune SearchSpace and Experimenter Converters and test on mock study. by copybara-service in https://github.com/google/vizier/pull/615
* Update GoogleDesignerFactory to use a designer factory. by copybara-service in https://github.com/google/vizier/pull/611
* Remove GP hparam ensemble since ensemble members are usually the same with the LBFGSB optimizer, and to reduce latency associated with `jax.vmap` with the forthcoming JAX Eagle optimizer. Change `best_n=1` behavior to squeeze out the singleton dimension of the GP hparams and not use vmap, since unnecessary vmap is a speed footgun. by copybara-service in https://github.com/google/vizier/pull/618
* Normalize loss value by the number of observations only when using SGD-based GP hparam optimizers (so a consistent learning rate can be used regardless of the number of observations). Previously, this was baked into the loss function definition; now that we're using L-BFGS-B by default, this is unnecessary and possibly confusing. by copybara-service in https://github.com/google/vizier/pull/602
* Update Pytypes after recent changes to typing in JAX/Numpy, and following our decision to use more specific types (instead of chex.Array) where possible. by copybara-service in https://github.com/google/vizier/pull/624
* Fix a bug where Constraint objects returned by `get_constraints` did not account for `mean_fn` parameters. by copybara-service in https://github.com/google/vizier/pull/633
* Added `utils/performance_utils.py` with a decorator that tracks function runtime duration. by copybara-service in https://github.com/google/vizier/pull/638
* Make 'num_metric' the last dimension in LinearOutputWarper by copybara-service in https://github.com/google/vizier/pull/648
* Kumamon: apply linear output warping and compute acquisition for separable kernel using sampling. by copybara-service in https://github.com/google/vizier/pull/649
* Add more logs to `DesignerPolicy` to better track performance. by copybara-service in https://github.com/google/vizier/pull/653
* Update mapping logic for Raytune. by copybara-service in https://github.com/google/vizier/pull/657
* Add L-BFGS-B Acquisition function optimizer. by copybara-service in https://github.com/google/vizier/pull/658
* Move NestedDictRAMDatastore to a new file and move metadata operations into `metadata_util.py`. by copybara-service in https://github.com/google/vizier/pull/673
* Update `Predictor` pydoc. by copybara-service in https://github.com/google/vizier/pull/676
* Update predict RTD colab. by copybara-service in https://github.com/google/vizier/pull/681
* Fixes Trial default creation_time by copybara-service in https://github.com/google/vizier/pull/684


**Full Changelog**: https://github.com/google/vizier/compare/v0.1.4...v0.1.5

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