Releases: google/vizier
Releases · google/vizier
v0.1.14
What's Changed
- Add a json encoder for metadata by @copybara-service in #1009
- Add failing designer for testing. by @copybara-service in #1010
- Allow for linear kernel for ARD in Python GP. by @copybara-service in #1012
- Fix early stopping colab by @copybara-service in #1014
- Modernize
@jaxtypedcode by @copybara-service in #1015 - Support reverse log in keras embedder and small edge case fix in core converter. by @copybara-service in #1017
- Support
SimpleKdexperimenter returning relative objective value. by @copybara-service in #1011 - Propagate selected keys from global namespace to metadata namespace. by @copybara-service in #1023
- Simplify some SQL datastore code by @copybara-service in #1022
gp_banditdesigner rejects empty search spaces. by @copybara-service in #1024- No need for union since
vz.Trialis already a subclass by @copybara-service in #1025 - Debug shifting experimenter due to OOB values (and revert to previous code). by @copybara-service in #1019
- Apply suggestion from ConnorBaker in #1029 by @copybara-service in #1033
- Remove Python 3.7 support and fix ugly formatting in pyglove core by @copybara-service in #1035
- Allow for mutation rate schedules for NSGA by @copybara-service in #1034
- Update benchmark result structure to incorporate spec gen name. by @copybara-service in #1020
- Adds a new error type (not yet fully supported) that allows Pythia algorithms by @copybara-service in #1038
- Some support for PythiaFallbackError. by @copybara-service in #1039
- Adds benchmarks testing. by @copybara-service in #1040
- Add NormalizedSimpleRegert and WinRateSimpleRegret convergence curve comparators. by @copybara-service in #1041
- Creating scheduled GP-Bandit designer. by @copybara-service in #1043
Full Changelog: v0.1.13...v0.1.14
v0.1.13
What's Changed
- Remove logging errors when the convertor rounds up values, which is not an uncommon occurrence (e.g. RandomDesigner, EagleStrategyDesigner). by @copybara-service in #950
- Input validation for add_categorical_param. by @copybara-service in #952
- Fix the type error.
nn.module.get_variablereturns a regular dict now. by @copybara-service in #957 - Fixes Eagle optimizer trials padding by @copybara-service in #960
- ParameterEntropyHparamScorerFactory for scoring exploration behavior by @copybara-service in #970
- Add prior study setters into benchmark runners. by @copybara-service in #984
- Update documentation: Users are now allowed to write to namespaces other than by @copybara-service in #988
- Introduce stateful curve converters. by @copybara-service in #987
- Add support for conditionals in
TrialToArrayConverter. by @copybara-service in #1001 - Minor edits by @copybara-service in #1000
Full Changelog: v0.1.12...v0.1.13
v0.1.12
What's Changed
- Small aesthetic update to Ray benchmark RTD by @copybara-service in #914
- Add a lot of tracing trackers. by @copybara-service in #913
- Fix broken
pytest_rayinstallation by @copybara-service in #918 - Add multi-objective acquisitions and integrate them into GPBandit. by @copybara-service in #909
- Add profiling around seed trial generation to help debug slow runs. by @copybara-service in #925
- Meta learning designer: 1) multi-metric trial support, 2) updated default schedules, 3) additional testing and documentation. by @copybara-service in #933
- Add counter metrics with metadata. by @copybara-service in #931
- Use QuasiRandomDesigner in EagleStrategy. by @copybara-service in #943
- Clean up & bugfix for random rotation matrix generation. by @copybara-service in #941
- Remove redundant logging from Eagle designer for expediting benchmarking jobs / convergence tests. by @copybara-service in #946
Full Changelog: v0.1.11...v0.1.12
v0.1.11
What's Changed
- Expose PolicyFactory into Pythia import. by @copybara-service in #905
- General Meta-Learning Framework by @copybara-service in #877
- Debug ensemble_designer to handle with Active Trials. by @copybara-service in #910
Full Changelog: v0.1.10...v0.1.11
v0.1.10
What's Changed
- Clarify that in multi-worker situations, workers are expected to provide
client_idin thesuggest()call, and not during client construction. by @copybara-service in #875 - Expose
DesignerPolicyinalgorithmsinit file by @copybara-service in #894 - Update Vizier version to 0.1.10 by @copybara-service in #896
Full Changelog: v0.1.9...v0.1.10
v0.1.9
What's Changed
- Add PlotElements and BenchmarkRecord for easy plotting. by @copybara-service in #878
Full Changelog: v0.1.8...v0.1.9
v0.1.8
v0.1.7
What's Changed
- Predict Kumamon individual metrics. by @copybara-service in #739
- Add GP Bandit tests for VizierSearcher by @copybara-service in #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 #757
- Add a Converter from trials to ContinuousAndCategoricalArray. by @copybara-service in #754
- Minor cleanups by @copybara-service in #788
- Use Categorical kernel in GP bandit. by @copybara-service in #784
- Convert vectorized optimizers to operate on continuous and categorical data. by @copybara-service in #793
- Follow up to the VectorizedBase refactor with a couple fixes: by @copybara-service in #797
- Add arch gym to highlights by @copybara-service in #804
- Add the wide LCB and delayed trust region application options to the acquisition-based trust region. by @copybara-service in #805
- Silence some pytype errors. by @copybara-service in #820
- Minor updates to pythia docs, string reps, and TODOs by @copybara-service in #821
- Internal change. by @copybara-service in #829
- Advance
attrsversion to23.1.0by @copybara-service in #830 - Add batching/ensembling support for mean_fn. by @copybara-service in #834
Full Changelog: v0.1.6...v0.1.7
v0.1.6
What's Changed
- Fix qUCB test following a change to TFP. Rename qUCB parameter "coefficient" for consistency with UCB. by @copybara-service in #691
- Bug fix/add missing test cases for Optax ARD optimizer. by @copybara-service in #692
- Add option to pad number of observations and dimensions of inputs. by @copybara-service in #627
- Pyvizier needs to include one more definition. by @copybara-service in #693
- Update Adaptive Ensembling to use observation probs. by @copybara-service in #695
- Clarify jit_loop arg in vectorized_base.py by @copybara-service in #705
- Fix the flag error in runtime context. #698 by @copybara-service in #700
- Update Basic Vizier documentation by @copybara-service in #716
- Update all Jax requirements to avoid breaking Github workflows by @copybara-service in #722
- Disable benchmark tests for now due to Dopamine failures. by @copybara-service in #730
- Remove 3.x from github workflow by @copybara-service in #731
Full Changelog: v0.1.5...v0.1.6
v0.1.5
What's Changed
- Create input warping based on Kumaraswamy CDF. by @copybara-service in #562
- Fix Numpy dtype error in acquisitions_test. by @copybara-service in #605
- Add a test to the RandomDesigner to confirm that it respects LOG scaling. by @copybara-service in #596
- Fix Eagle slowness for large studies by @copybara-service in #609
- Add typing to output warping by @copybara-service in #613
- Use time as seed by @copybara-service in #614
- Fix pytype failures related to teaching pytype about NumPy scalar types. by @copybara-service in #604
- Add RayTune SearchSpace and Experimenter Converters and test on mock study. by @copybara-service in #615
- Update GoogleDesignerFactory to use a designer factory. by @copybara-service in #611
- Remove GP hparam ensemble since ensemble members are usually the same with the LBFGSB optimizer, and to reduce latency associated with
jax.vmapwith the forthcoming JAX Eagle optimizer. Changebest_n=1behavior 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 #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 #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 #624
- Fix a bug where Constraint objects returned by
get_constraintsdid not account formean_fnparameters. by @copybara-service in #633 - Added
utils/performance_utils.pywith a decorator that tracks function runtime duration. by @copybara-service in #638 - Make 'num_metric' the last dimension in LinearOutputWarper by @copybara-service in #648
- Kumamon: apply linear output warping and compute acquisition for separable kernel using sampling. by @copybara-service in #649
- Add more logs to
DesignerPolicyto better track performance. by @copybara-service in #653 - Update mapping logic for Raytune. by @copybara-service in #657
- Add L-BFGS-B Acquisition function optimizer. by @copybara-service in #658
- Move NestedDictRAMDatastore to a new file and move metadata operations into
metadata_util.py. by @copybara-service in #673 - Update
Predictorpydoc. by @copybara-service in #676 - Update predict RTD colab. by @copybara-service in #681
- Fixes Trial default creation_time by @copybara-service in #684
Full Changelog: v0.1.4...v0.1.5