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V0.4.3 - Maintenance Release

23 Sep 20:03
@mgarrard mgarrard
0.4.3
2e7291e
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Key things:

  • Update to BoTorch 0.12.0 – which included some major updates to underlying modeling, please see BoTorch release for detailed description
  • Fix for a sql storage bug related to an import trying to import a deleted file

Compatibility

New Features

Bug Fixes

Other Changes

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V0.4.2 - Maintenance Release

23 Sep 17:28
@mgarrard mgarrard
0.4.2
ac3a7ec
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V0.4.2 - Maintenance Release

Key things:

  • Update to BoTorch 0.12.0 – which included some major updates to underlying modeling, please see BoTorch release for detailed description
  • Fix for a sql storage bug related to an import trying to import a deleted file

Compatibility

New Features

Bug Fixes

Other Changes

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V0.4.1 - Maintenance Release

23 Jul 19:07
@mgarrard mgarrard
0.4.1
9cde572
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V0.4.1 - Maintenance Release

Compatibility

  • Require BoTorch version v0.11.3 (#2594)

New Features

  • Add TimeAsFeature transform (#2438)
  • Add tutorial to mimic parameter constraint functionality for nonlinear constraints (#2500)
  • Add option for using posterior predictive in cross-validation (#2517)
  • Refactor BestModelSelctor to operate on ModelSpecs (#2557)
  • Templates for questions on github (#2575)

Bug Fixes

  • Update tests so that data contains metric_names that are on the corresponding experiments (#2422)
  • Use name of enum instead of casting to string (#2423)
  • Fill missing values with NaN in observation_data_to_array (#2430)
  • Prevent unused NaNs from marking constraints as infeasible in pareto_frontier_evaluator (#2431)
  • Add copyright comment (#2445)
  • Fix various spelling errors in GS (#2448)
  • Add warning when metric is skipped because it’s not on the experiment (#2449)
  • Stop ignoring unused keyword arguments (#2451)
  • Improve error clarity in TensorboardMetric (#2456)
  • Save status quo name and feature when multiple status quo present (#2457)
  • Remove unused import from MOO tutorial (#2462)
  • Update MBM tutorial with modern, non-deprecated functionality and accurate description of defaults (#2466)
  • Include CANDIDATE trials in pending_features (#2482)
  • Test that we’re not referencing same parameter dict in ObservationFeatures.from_arm (#2483)
  • Do not deduplicate against FAILED in GenerationStrategy/Node (#2488)
  • Use updated BoTorch HitAndRunPolytopeSampler for Sobol fallback (#2492)
  • Fix test_optimize_l0_homotopy test numerics (#2493)
  • Remove unused imports from ax/ (#2501)
  • Remove unused experiment arg from compute_model_fit_metrics_from_modelbridge (#2504)
  • Fix equality check for floats (#2507)
  • Fix MOO tutorial (#2509)
  • Remove unnecessary pyre-fixme (#2513)
  • Disallow modeling metrics not attached to the experiment (#2518)
  • Fix pending point bug in ExternalGenerationNode (#2521)
  • Fix num_bayesopt_trials logic to support ensembling (#2522)
  • Update np.Inf -> np.inf per numpy 2.0 release (#2527)
  • Reinforce testenv in Ax test case (#2530)
  • Avoid errors in telemetry due to node-based GenerationStrategy (#2554)
  • Use fast_botorch_optimize to fix test timeouts (#2556)
  • Make MBM acquisition pass the correct argos to each BoTorch optimizer (#2571)
  • Remove unnecessary special-casing for qEHVI and qMES from optimizer argparse (#2572)
  • Remove link to the Raytune Tutorial (#2578)
  • Expand trials_as_df to support multiple GenerationNodes in a single trial (#2577)
  • Fixing typo in docstring of get_sobol_botorch_modular_acquisition (#2583)
  • Fix incorrect status quo update warning (#2586)

Other Changes

  • Update PairwiseModelBridge to support non-preference outcomes (#2424)
  • Allow more flexible definition of which trial statuses to fit (#2432)
  • Support multiple node generation for single trial (#2428)
  • Add TimeAsFeature to transform registery (#2439)
  • Handle pending observations in TimeAsFeature (#2440)
  • Handle ObservationFeatures without trial_index in Realativize (#2441)
  • Pyre update (#2442)
  • Creating preference testing stub (#2443)
  • Add qExpectedUtilityOfBestOption to test_PairwiseModelBridge (#2444)
  • Add transition edges property to GenerationNode (https://github.com/facebook/Ax/pull/24460)
  • Update should_transition_to_next_node to handle multiple transition edges (#2447)
  • Rename TaskEncode transform to TaskChoiceToIntTaskChoice (#2450)
  • Explicit mention that AxService API is recommended throughout docs (#2453)
  • Add validation of transition edges to GS (#2454)
  • Another pyre update (#2463)
  • Always consider choice parameters with 2 values as ordered (#2464)
  • Fix forward (#2465 )
  • Change flag name from supress_generation_errors to raise_generation_errors (#2468)
  • Improve typing in SyntheticFunctions (#2470)
  • Clean up unnecessary todos in _get_model_state_from_last_generator_run (#2476)
  • Update docstring to signal in-place_modification (#2477)
  • Test against python 3.12 (#2478)
  • Have MBM only pass acqf input constructor kwargs to BoTorch when they are not None (#2480)
  • Enable evaluating Branin test experiments with None status quo (#2489)
  • Remove unused suppress_all_errors kwarg (#2491)
  • Adding analysis_batch class to ax.analysis (#2498)
  • Adding schema for AnalysisBatch and Analysis (#2499)
  • Passing current_node_name when gs is node based (#2505)
  • Put model fit data in gen_metadata (#2511)
  • Save full[er] GeneratorRuns ([https://github....
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V0.4.0 - Maintenance Release

02 May 21:44
@mgarrard mgarrard
0.4.0
9ba941c
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V0.4.0 - Maintenance Release

V0.4.0 - Maintenance Release

Compatibility

  • Require BoTorch version v0.11.0 (#2420).
  • Require Python version >= 3.10 (#2349)

FYI on future deprecations:

  • ALEBO AND REMBO will be deprecated and removed in the next release

New Features

  • New, simplified TensorboardMetric (#2236)
  • Add support for noisy problems to the Ax Benchmarks (#2255)
  • Add ExternalGenerationNode (#2266)
  • Add ExternalGenerationNode tutorial (#2281)
  • Enable batched benchmarks (with BatchTrial) (#2331)
  • Entropy of observations metric (#2340)
  • Global Sensitivity Analysis for Categorical Features (#2357)
  • Enable Sobol sensitivity analysis for SAAS models (#2363)
  • Support fixed features in Service API (#2372)
  • Support X_observed=None in Acquisition (#2393)
  • Added PredictedOutcomesDotPlot to ax.analysis (#2303)

Bug Fixes

  • Address misc lint+pyre failures impacting OSS linter (#2244)
  • Improve flakey test reliability (#2246)
  • Ensure minimize is passed to make_experiment (#2251)
  • Fix GenerationNode transition logic (#2253)
  • Handle errors in score trace computations (#2263)
  • Fix Sphinx build errors (#2267)
  • Fix flaky test for sensitivity analysis (#2268)
  • Do not re-attach the same data in get_test_map_data_experiment (#2273)
  • Fic issue with SQA storage never removing Data objects + upgrade testing for scheduler with Map Data intermediate results (#2276)
  • Fix prediction on training data in transformed space when calculating model fit quality metrics (#2279)
  • Fix integration test (#2282)
  • do not group by time cols when creating observations (#2293)
  • Fix test_compare_to_baseline_equal (#2296)
  • Fix test_sqa_storage_map_metric_experiment (#2297)
  • Ax Trial: Bug fix for error message that references nonexistent function (#2304)
  • Cloning over _time_created when cloning Experiment (#2307)
  • Fix "cannot collect test class 'TestMetric' because it has a init constructor (from: ax/core/tests/test_experiment.py)" (#2308)
  • Address non-determinism in model.metric_names in tests (#2309)
  • fix skip_runners_and_metrics for metrics on generator runs with mutable multi-objective optimization config (#2312)
  • Properly handle generators in Data.from_multiple (#2318)
  • Update some test helpers in core_stubs (#2319)
  • Rework TransitionCriterion storage to remove circular dep (#2320)
  • Fix generation node tests (#2322)
  • Fix docstring in Ax SyntheticFunction._f, Pyre fix (#2329)
  • Fix missing DB update on AxClient.stop_trial_early (#2337)
  • Fix deprecation warning from pandas.read_json (#2346)
  • Remove unused import (#2348)
  • Add an error if "use_batch_trials" is passed to AxClient (#2355)
  • Add List[str] to TConfig definition (#2360)
  • HSS: only check for dependents if the root parameter is present when casting parameterization (#2361)
  • Only untransform objective thresholds in TorchModelbridge.gen if they are not None (#2374)
  • Make sure TestCase.setUp is executed in tests (#2384)
  • Do not transform search space in-place in Modelbridge._get_transformed_gen_args (#2386)
  • Fix warning filters in TestCase, introduce AxParameterWarning (#2389)
  • Fix broken test from D56359739 (#2400)
  • Fix sphinx build (#2419)

Other Changes

  • Add output_tasks to MTGP in MBM (#2241)
  • Pyre Configurationless migration (#2243, #2261, #2359, #2368)
  • Update docstring for GenerationNode.gen & fit (#2245)
  • Implement Data.eq (#2247)
  • copying "cross_validation_helper" code from ax.plot (#2249)
  • validate metrics after setting options (#2250)
  • Introduces AxGenerationException to facilitate exception handling (#2254)
  • Light cleanup of GenerationStrategyInterface (#2256)
  • Add Sobol benchmark method (#2257)
  • Light GenStrategy cleanup (#2258)
  • Extend docstring of extract_parameter_constraints (#2262)
  • Retain original data timestamp in experiment.clone_with (#2269)
  • Docstring clarification (#2270)
  • Clean up too-verbose logs (#2275)
  • Add fit_out_of_design to TorchOptConfig (#2277)
  • Update doc strings on TransitionCriterion to improve usability (#2278)
  • split common target into native/non-native parts (#2280)
  • Unblock node based GS in AxClient.get_optimization_trace (#2283)
  • Allow customizing num_init_trials in MBM benchmark method (#2286)
  • Update log message in WithDBSettingsBase._load_experiment_and_generation_strategy (#2287)
  • Abstract out attribute copy during clone_to (#2288)
  • updates trial status during clone (#2290)
  • Plot top n features in countours (#2291)
  • Expose fit_out_of_design (#2292)
  • Clean up too verbose logs pt. 2 (#2298)
  • Changed concatenation to f-strings (#2300)
  • Silence input normalization warnings in cross validation (#2310)
  • Clean up GenNode class 1/3 (#2313)
  • Return weights from Acquisition.optimize (#2314)
  • Upgrade actions/checkout & actions/setup-python (#2315)
  • Rename OrderedChoiceEncode => OrderedChoiceToIntegerRange (#2323)
  • Tests for sequential=True as default for models in ModelBridge factory (#2324)
  • add MergeRepeatedMeasurements to the transform registry (#2325)
  • Typing improvements to RangeParameter (#2327)
  • update run_metadata in BaseTrial.run instead of overwriting (#2328)
  • Allow for passing model_gen_kwargs in benchmarks (#2336)
  • only infer reference point in global stopping if there is data (#2338)
  • Allow bulk_fetch_trial_data to return mix of successes/failures (#2339)
  • Tests which store and load dataframe and figure (#2344)
  • Add e2e tests with HSS (#2345)
  • Switch legacy LCE-A to qLogNEI from legacy ei_or_nei (#2352)
  • Remove fall-back to list (#2353)
  • Rename global stopping tests_strategies -> test_strategies (#2354)
  • Update HSS dummy value logic & expose it in Cast ([#2362](https://git...
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v0.3.7 - Maintenance Release

01 Mar 16:10
@mpolson64 mpolson64
0.3.7
a1f94b0
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v0.3.6 - Maintenance Release

09 Dec 18:08
@Balandat Balandat
0.3.6
35ec389
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v0.3.6 - Maintenance Release

Compatibility

  • Bump required BoTorch version to 0.9.5 (#2065).
  • Unpin typeguard dependency (#2044).

New Features

Bug Fixes

  • Fix usage of batch shape for warp transform (#1994).
  • Use default dtype in Experiment.clone_with (375bf47).
  • Change DerelativizeTransform to not use model predictions when use_raw_status_quo is True or when the status quo is infeasible (#2036).
Deprecations
  • Rename Models.BOTORCH to Models.LEGACY_BOTORCH (#1981).

Other Changes

  • Do not call dataset.X in input transform constructors (#1993).
  • Move pending point utils to core Ax (#2006).
  • Load Experiment without runners and metrics in the case where search space and optimization config are immutable (#1656).
  • Workaround for tutorial visualizations not working in colab and remote setup (#2030).
  • Add extract_pending_observations function that auto-deploys to the correct pending points function for the use case (#2039).
  • Wait to re-poll if all results are MetricFetchE (#2055).
  • Benchmarks:
    • Update BestPointMixin to support BatchTrial in benchmarks (#2014).
    • Adjust BenchmarkProblem to support multiple noise levels (#2049).
    • Make distribute_replications a required input argument (#2051).
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v0.3.5 Release

13 Nov 22:37
@mpolson64 mpolson64
0.3.5
f4d1ea8
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v0.3.5 Release
  • Bump required botorch version to 0.9.4
  • Miscellaneous bug fixes and improvements
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v0.3.4 Release

11 Aug 14:37
@mpolson64 mpolson64
0.3.4
1cc89e9
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v0.3.4 Release
  • Bump required botorch version to 0.9.2, fixing major bug in single-objective optimization with outcome constraints, see botorch release 0.9.2 for details
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v0.3.3 Release

26 Jun 20:46
@mpolson64 mpolson64
0.3.3
aa57b50
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v0.3.3 Release
  • Remove typeguard usage in trial attaching function and replace with manual runtime type checking (this was causing errors for some users in Google Colab notebooks)
  • Miscellaneous bug fixes and improvements
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v0.3.2 Release

08 May 20:26
@mpolson64 mpolson64
0.3.2
f129b0d
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v0.3.2 Release
  • Bump required Botorch version to v0.8.5
  • Miscellaneous big fixes and improvements
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