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AIM-Harvard / foundation-cancer-image-biomarker

Code and evaluation repository for the paper
https://aim-harvard.github.io/foundation-cancer-image-biomarker/
MIT License
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:arrow_up: Bump optuna from 2.10.0 to 3.4.0 #223

Closed dependabot[bot] closed 10 months ago

dependabot[bot] commented 11 months ago

Bumps optuna from 2.10.0 to 3.4.0.

Release notes

Sourced from optuna's releases.

v3.4.0

This is the release note of v3.4.0.

Highlights

Optuna 3.4 newly supports the following new features. See our release blog for more detailed information.

  • Preferential Optimization (Optuna Dashboard)
  • Optuna Artifact
  • Jupyter Lab Extension
  • VS Code Extension
  • User-defined Distance for Categorical Parameters in TPE
  • Constrained Optimization Support for Visualization Functions
  • User-Defined Plotly’s Figure Support (Optuna Dashboard)
  • 3D Model Viewer Support (Optuna Dashboard)

Breaking Changes

  • Remove deprecated arguments with regard to LightGBM>=4.0 (#4844)
  • Deprecate SkoptSampler (#4913)

New Features

  • Support constraints for intermediate values plot (#4851, thanks @​adjeiv!)
  • Display all objectives on hyperparameter importances plot (#4871)
  • Implement get_all_study_names() (#4898)
  • Support constraints plot_rank (#4899, thanks @​ryota717!)
  • Support Study Artifacts (#4905)
  • Support specifying distance between categorical choices in TPESampler (#4926)
  • Add metric_names getter to study (#4930)
  • Add artifact middleware for exponential backoff retries (#4956)
  • Add GCSArtifactStore (#4967, thanks @​semiexp!)
  • Add BestValueStagnationEvaluator (#4974, thanks @​smygw72!)
  • Allow user-defined objective names in hyperparameter importance plots (#4986)

Enhancements

  • CHG constrained param displayed in #cccccc (#4877, thanks @​louis-she!)
  • Faster implementation of fANOVA (#4897)
  • Support constraint in plot slice (#4906, thanks @​hrntsm!)
  • Add mimetype input (#4910, thanks @​hrntsm!)
  • Show all ticks in _parallel_coordinate.py when log scale (#4911)
  • Speed up multi-objective TPE (#5017)

Bug Fixes

  • Fix numpy indexing bugs and named tuple comparing (#4874, thanks @​ryota717!)
  • Fix fail_stale_trials with race condition (#4886)
  • Fix alias handler (#4887)

... (truncated)

Commits
  • 4ea580f Merge pull request #5031 from not522/bump-to-v3.4.0
  • be38f90 Bump the version up to v3.4.0
  • 0061a42 Merge pull request #5022 from contramundum53/fix-parallel-bruteforce
  • 408583d [doc] Add the workaround for duplicated samples to FAQ (#5006)
  • ffdf22e Show all ticks in _parallel_coordinate.py when log scale (#4911)
  • 9375fec Update optuna/samplers/_brute_force.py
  • 1ea388f Update optuna/samplers/_brute_force.py
  • 3895ff8 Merge pull request #4986 from xadrianzetx/param-importances-metric-names
  • 11b9589 Break nondomination sort with n_below (#5017)
  • c21fe62 Merge pull request #5007 from nabenabe0928/bug/fix-a-minor-bug-in-lightgbm-in...
  • Additional commits viewable in compare view


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dependabot[bot] commented 10 months ago

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.