SHAP-like beeswarm plot visualization

@yasumorishima introduces the new visualization to OptunaHub. Please refer to https://hub.optuna.org/visualization/plot_beeswarm/ for details.

New Features

• Add Trackio Integration for Optuna ( optuna/optuna-integration#259 , thanks @ParagEkbote !)

• Add constant liar strategy to GPSampler ( #6430 )

Enhancements

• Validate artifact_id in FileSystemArtifactStore to prevent path traversal ( #6432 , thanks @RinZ27 !)

• fix: correct inverted warning message in pareto front plot ( #6498 , thanks @aerosta !)

Bug Fixes

• Fix shared callback state in parallel OptunaSearchCV with LightGBM ( optuna/optuna-integration#260 , thanks @Quant-Quasar !)

• Fix GPSampler crash when torch default device is CUDA ( #6418 , thanks @VedantMadane !)

• Fix combination between PartialFixedSampler and TPESampler with group decomposed search space ( #6428 )

• Fix TPESampler with multivariate and constant_liar ( #6505 )

Documentation

• Add documentation indicating that WilcoxonPruner requires scipy ( #6477 )

• Remove version & language selectors in the sidebar of docs ( #6482 )

Examples

• Apply black 26.1.0 ( optuna/optuna-examples#348 )

• Remove CI workflow for allennlp since no longer maintained ( optuna/optuna-examples#351 )

• Reduce the frequency of scheduled CI triggers ( optuna/optuna-examples#352 )

• Remove the scheduled trigger for aim CI ( optuna/optuna-examples#353 )

• Add constraint to transformers ( optuna/optuna-examples#355 )

Tests

• Add SamplerTestCase class in optuna.testing package ( #6424 )

• Move test_before_trial and test_after_trial_* to test_trial.py and test_study.py , respectively ( #6429 )

Code Fixes

• Move type-only imports to TYPE_CHECKING in _param_importances.py ( #6423 , thanks @dotz0ver !)

• Use future .annotations in matplotlib/_intermediate_values ( #6425 , thanks @Lakshman142 !)

• Reformat files with the latest version of ruff ( #6426 )

• Replace .format() with f-strings in _parallel_coordinate.py ( #6431 , thanks @yasumorishima !)

• Use TYPE_CHECKING for import in pruners/_base.py ( #6434 , thanks @yasumorishima !)

• Use f-strings in optuna/storages/_base.py ( #6435 , thanks @edwiniac !)

• Use f-strings in _contour.py ( #6436 , thanks @edwiniac !)

• Use f-strings in _intermediate_values.py ( #6437 , thanks @edwiniac !)

• Use f-strings in cli.py ( #6438 , thanks @edwiniac !)

• Use f-strings in optuna/testing/storages.py ( #6439 , thanks @edwiniac !)

• Use f-strings in optuna/storages/journal/_storage.py ( #6440 , thanks @edwiniac !)

• Use f-strings in _imports.py ( #6442 , thanks @edwiniac !)

• Use f-strings in _deprecated.py ( #6443 , thanks @edwiniac !)

• Use TYPE_CHECKING for import in pruners/_hyperband.py ( #6447 , thanks @yasumorishima !)

• Use TYPE_CHECKING for typing-only imports in test_timeline.py ( #6451 , thanks @KRMed !)

• Refactor: Use f string in multi_objective tutorial ( #6455 , thanks @ryota717 !)

• refactor: move type-only imports into TYPE_CHECKING in samplers/_grid.py ( #6466 , thanks @dhruvildarji !)

• refactor: move BaseDistribution into TYPE_CHECKING in search_space/intersection.py ( #6467 , thanks @dhruvildarji !)

• Simplify Union type alias in optuna/samplers/_cmaes.py ( #6478 , thanks @roli-lpci !)

• Use f-string in _convert_positional_args.py ( #6483 , thanks @toroleapinc !)

• Add acqf import inside a TYPE_CHECKING block ( #6484 , thanks @acabellom !)

• Refactor repr in trial/_frozen.py to use f-strings ( #6485 , thanks @Bhavyag1337 !)

• Use TYPE_CHECKING in pruners/_threshold.py ( #6487 , thanks @LuciferDono !)

• Use f-string in tutorial/10_key_features/005_visualization.py ( #6489 , thanks @maheer14 !)

• Move JSONSerializable import to TYPE_CHECKING in study/study.py ( #6490 , thanks @yasumorishima !)

• Use f-string and {var_name=} instead of .format and var_name={var_name} ( #6494 , thanks @buddy0452004 !)

• Move optuna import to TYPE_CHECKING in pruners/_patient.py ( #6501 , thanks @yasumorishima !)

• Move application import to TYPE_CHECKING in pruners/_patient.py ( #6502 , thanks @nightcityblade !)

• Move application import to TYPE_CHECKING in pruners/_successive_halving.py ( #6503 , thanks @nightcityblade !)

• Replace .format() with f-strings in 002_configurations.py ( #6506 , thanks @acabellom !)

• Fix type checking ( #6507 , thanks @sateeshkumarb !)

Continuous Integration

• Fix test for FastAIV2PruningCallback ( optuna/optuna-integration#265 )

• Fix windows-test failure due to NamedTemporaryFilePool ( #6417 )

• Fix checks-optional CI ( #6422 )

• Fix mypy errors in GP module ( #6492 )

Other

• Bump up version number to 4.8.0.dev ( optuna/optuna-integration#263 )

• Bump the version up to v4.8.0 ( optuna/optuna-integration#269 )

• Bump up version to 4.8.0.dev ( #6414 )

• Update news section for the v4.7 release ( #6420 )

Thanks to All the Contributors!

This release was made possible by the authors and the people who participated in the reviews and discussions.

@Bhavyag1337 , @KRMed , @Lakshman142 , @LuciferDono , @ParagEkbote , @Quant-Quasar , @RinZ27 , @VedantMadane , @acabellom , @aerosta , @buddy0452004 , @c-bata , @dhruvildarji , @dotz0ver , @edwiniac , @gen740 , @kAIto47802 , @maheer14 , @nabenabe0928 , @nightcityblade , @not522 , @roli-lpci , @ryota717 , @sateeshkumarb , @sawa3030 , @toroleapinc , @y0z , @yasumorishima

Contributors

sateeshkumarb, not522, and 26 other contributors