Skip to content

Releases: optuna/optuna-dashboard

v0.16.2

11 Sep 08:15
9c13b76
Compare
Choose a tag to compare

What's Changed

Full Changelog: v0.16.1...v0.16.2

v0.16.1

28 Aug 09:45
627ebf1
Compare
Choose a tag to compare

What's Changed

  • Update the dependency axios 1.7.4 by @c-bata in #934
  • Update CONTRIBUTING.md for Jupyter Lab extension by @c-bata in #936
  • Remove *Dark.stories.tsx and add some improvements by @c-bata in #935
  • Move parallel coordinate plot to @optuna/react by @c-bata in #938
  • Remove some e2e test scenarios and port to vitest by @c-bata in #937
  • Rename objective_names to metric_names by @c-bata in #940
  • Followup/feature/tslib trialtable by @porink0424 in #943
  • Use tslib's TrialTable in optuna-dashboard by @keisuke-umezawa in #907
  • Fix getArtifactUrlPath in jupyterlab-optuna by @porink0424 in #944
  • [hotfix] Fix the bug that violates Rules of Hooks by @porink0424 in #945
  • Bump the version up to v0.16.1 by @c-bata in #946
  • Avoid crushing on Chrome v128 when using plotlypy mode by @c-bata in #947
  • Disable use plotlypy setting when plotlypy is not available by @porink0424 in #948
  • Improve settings component by @c-bata in #949

Full Changelog: v0.16.0...v0.16.1

v0.16.0

16 Aug 08:17
eff2a40
Compare
Choose a tag to compare

What's Changed

New Contributors

Full Changelog: v0.15.1...v0.16.0

v0.15.1

29 Mar 08:33
355f161
Compare
Choose a tag to compare

What's Changed

Full Changelog: v0.15.0...v0.15.1

v0.15.0

12 Mar 06:47
0664ea3
Compare
Choose a tag to compare

What's Changed

New Contributors

Read more

v0.14.0

11 Dec 05:01
5dcc4cf
Compare
Choose a tag to compare

What's Changed

New Contributors

Full Changelog: v0.13.0...v0.14.0

v0.13.0

17 Oct 07:05
96a0af3
Compare
Choose a tag to compare

What's Changed

New Contributors

Read more

v0.13.0b1

07 Sep 02:11
9c037a4
Compare
Choose a tag to compare
v0.13.0b1 Pre-release
Pre-release

Highlights

Support user-defined Plotly objects

import optuna
from optuna_dashboard import save_plotly_graph_object

def objective(trial):
    x = trial.suggest_float("x", -100, 100)
    y = trial.suggest_categorical("y", [-1, 0, 1])
    return x**2 + y

study = optuna.create_study()
study.optimize(objective, n_trials=100)
figure = optuna.visualization.plot_optimization_history(study)
save_plotly_graph_object(study, figure)
Screenshot 2023-09-07 10 42 05

What's Changed

New Contributors

Full Changelog: v0.12.0...v0.13.0b1

v0.12.0

09 Aug 06:47
92083b0
Compare
Choose a tag to compare

What's Changed

Full Changelog: v0.11.0...v0.12.0

v0.11.0

04 Aug 07:07
15f8a97
Compare
Choose a tag to compare

What's Changed

New Contributors

Full Changelog: v0.10.3...v0.11.0