v0.1.20

What's Changed

• Support for handling singleton params for Pythia by @copybara-service in #1186
• Add commit / rollback SQLA on commands which edit the database on harddisk. See #1187. Originally executions only occurred in memory but weren't saved to harddisk. by @copybara-service in #1188

Full Changelog: v0.1.19...v0.1.20

v0.1.19

What's Changed

• Add/edit explanation to some areas of the Eagle optimizer implementation. by @copybara-service in #1155
• Add a TODO by @copybara-service in #1159
• 1, Finish NormalizingExperimenter over all flat search spaces by using converters instead. by @copybara-service in #1161
• Handle edge case when all labels are NaN. by @copybara-service in #1162
• Remove emukit from oss list by @copybara-service in #1164
• Change NormalizingExperimenter to use (y - mean)/std instead by @copybara-service in #1165
• chore: Remove emukit by @copybara-service in #1163
• Adds sample and predict methods to GP-UCB-PE designer. by @copybara-service in #1167
• Fix a bug in the ParameterValueConverter introduced by numpy 2.0.1 (see cl/677725110). by @copybara-service in #1170
• Allow ports to be defined by users if really needed. #1098 by @copybara-service in #1171
• Fix RTD issues by @copybara-service in #1173
• Add multi-arm experimenters by @copybara-service in #1172
• Increases the default signal-to-noise threshold for gp_ucb_pe.VizierGPUCBPEBandit by @copybara-service in #1177
• Increases the default signal-to-noise threshold for gp_ucb_pe.VizierGPUCBPEBandit by @copybara-service in #1178
• Enables float64 in scheduled_designer_test by @copybara-service in #1179
• Increases the default signal-to-noise threshold for gp_ucb_pe.VizierGPUCBPEBandit by @copybara-service in #1180
• Update Jax version to fix CI errors by @copybara-service in #1182
• Patch Eagle designer to handle singleton parameters. by @copybara-service in #1181

Full Changelog: v0.1.18...v0.1.19

v0.1.18

What's Changed

• Fix bug in predict method of gp_bandit.py (not able to pass rng) by @copybara-service in #1146
• Fix xlabel and debug state analyzer histogram plot. by @copybara-service in #1147
• Make the client test fixture class generic so subclasses can write platform-specific tests. by @copybara-service in #1148
• Add return type of fig for plotting. by @copybara-service in #1149
• In the Halton quasi-random sampler, we were requesting D samples when we only by @copybara-service in #1151
• Relax numerical tolerance in preparation for xla:cpu update by @copybara-service in #1152
• 1. Add AcquisitionOverScalarized (Scalarize distributions first to obtain scalar, then get UCB) by @copybara-service in #1153
• 1. Add AcquisitionOverScalarized (Scalarize distributions first to obtain scalar, then get UCB) by @copybara-service in #1154

Full Changelog: v0.1.17...v0.1.18

v0.1.17

What's Changed

• Add decorator @seed_with_default by @copybara-service in #1086
• Fix bug on allowed version name by @copybara-service in #1092
• Use TEST_PYPI secrets instead by @copybara-service in #1093
• Upgrade jax versions to avoid DeviceArray import issues. by @copybara-service in #1094
• Support for infeasible trials in ensemble_designer by @copybara-service in #1090
• ...added validation code to satisfy PyType Checks... by @copybara-service in #1096
• Adds the pe_overwrite_probability parameter to the UCBPEConfig by @copybara-service in #1091
• Updates the default value for pe_overwrite_probability by @copybara-service in #1101
• Add HashingInfeasibleExperimenter and ParameterRegionInfeasibleExperimenter to simulate infeasibility behaviors. by @copybara-service in #1104
• Add to public import infeasible experimenters by @copybara-service in #1105
• Parameterized the penalty factor and rename it. by @copybara-service in #1103
• Default trial seeding, without using scalers. by @copybara-service in #1088
• Implements a variant of GP_UCB_PE that performs exploration via set-optimization by @copybara-service in #1110
• Supports multi-batch dimensions in the trust region acquisition function. by @copybara-service in #1114
• Appends the first suggestion to active trials before generating the remaining suggestions in a batch by @copybara-service in #1116
• Passes prior features to set-acquisition optimization by @copybara-service in #1117
• Add a wrapper to allow fairer comparisons between Vizier and other raytune algorithms. by @copybara-service in #1118
• Small update by @copybara-service in #1106
• Add simple4d convergence test for gp bandit. by @copybara-service in #958
• Add BenchmarkRecord summarization tools. by @copybara-service in #1120
• Refactor experimenter factories by @copybara-service in #1121
• Add xlabel to PlotElement. by @copybara-service in #1123
• Deprecate predictive_fns.py from Vizier JAX. by @copybara-service in #1126
• Fix accidental bug in MultiObjectiveNumpyExperimenter by @copybara-service in #1129
• Aesthetic + small bug fixes to Vizier service by @copybara-service in #1130
• Revert Twine=5.0.0 to unblock deployment failures: pypa/twine#1125 by @copybara-service in #1131
• Enables GP_UCB_PE to explore more aggressively in high-noise situations. by @copybara-service in #1133
• Change k = num_objectives - 1 by @copybara-service in #1134
• Use reference point and multiple scalarizations in ScalarizedAcquisition. by @copybara-service in #1135
• Vectorize the scalarization method instead of producing multiple class instances. This should run faster + reduce the jitted graph size (prevent RAM blowups) by @copybara-service in #1136
• Use 1000 scalarizations as default. Vectorization made it much faster to pass unit tests by @copybara-service in #1138
• Add Sample acquisition function to GP bandit. by @copybara-service in #1141
• Linear kernel refactor: Merge VizierGaussianProcess with VizierLinearGaussianProcess by @copybara-service in #1142
• Add max_scalarized to ScalarizedAcquisition. by @copybara-service in #1143
• Refactor multiobjective setup by @copybara-service in #1144
• Prepare for 0.1.7 release by cleaning up multiobjective. by @copybara-service in #1145

Full Changelog: v0.1.16...v0.1.17

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