v0.1.16

What's Changed

• Reduce duplicate code by @copybara-service in #1046
• Fix endpoint issues in pyglove colab. Should resolve #1044 by @copybara-service in #1047
• Fix link by @copybara-service in #1050
• Updates acquisition optimizer parameters for GP_UCB_PE by @copybara-service in #1051
• Change subplot title depending on if experimenter key is present. by @copybara-service in #1052
• Adds an OSS GP_UCB_PE test by @copybara-service in #1061
• Incorporate infeasible trials into Eagle designer by @copybara-service in #1057
• Add more details on adaptive ensembling. by @copybara-service in #1066
• Internal clean up. by @copybara-service in #1064
• Adds shift to InfeasibleWarperComponent and turns it on for the default output warper pipeline by @copybara-service in #1067
• Add Branin and Hartmann to public import by @copybara-service in #1068
• Update linear output warper to work nicely with jit caching. by @copybara-service in #1070
• Update logic for ensemble designer metadata failure into a log warning (in most cases). by @copybara-service in #1072
• Update scheduled params API by @copybara-service in #1073
• Stores per-suggestion latency in GP_UCB_PE suggestion timing metadata by @copybara-service in #1075
• Speed up pareto_rank computation. by @copybara-service in #1078
• Clarify and consolidate convergence curve scores by @copybara-service in #1076
• Serialize the scheduled designer. by @copybara-service in #1074
• Update benchmarking colab + reduce unnecessary imports by @copybara-service in #1081
• Simplify Ray benchmarks RTD by @copybara-service in #1082
• Update to 0.1.16 by @copybara-service in #1084

Full Changelog: v0.1.15...v0.1.16

v0.1.15

What's Changed

• Add GP_UCB_PE and make it the new default. by @copybara-service in #1042

Full Changelog: v0.1.14...v0.1.15

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 @jaxtyped code 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 SimpleKd experimenter 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_bandit designer rejects empty search spaces. by @copybara-service in #1024
• No need for union since vz.Trial is 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_variable returns 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_ray installation 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_id in the suggest() call, and not during client construction. by @copybara-service in #875
• Expose DesignerPolicy in algorithms init 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

What's Changed

• 'all' pip README update by @copybara-service in #851

Full Changelog: v0.1.7...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 attrs version to 23.1.0 by @copybara-service in #830
• Add batching/ensembling support for mean_fn. by @copybara-service in #834

Full Changelog: v0.1.6...v0.1.7