optuna 4.7.0

A hyperparameter optimization framework

Stars: 13532, Watchers: 13532, Forks: 1241, Open Issues: 35

The optuna/optuna repo was created 7 years ago and the last code push was 2 hours ago.
The project is extremely popular with a mindblowing 13532 github stars!

How to Install optuna

You can install optuna using pip

pip install optuna

or add it to a project with poetry

poetry add optuna

Package Details

Author

Takuya Akiba

License

None

Homepage

None

PyPi:

https://pypi.org/project/optuna/

GitHub Repo:

https://github.com/optuna/optuna

Classifiers

• Scientific/Engineering
• Scientific/Engineering/Artificial Intelligence
• Scientific/Engineering/Mathematics
• Software Development
• Software Development/Libraries
• Software Development/Libraries/Python Modules

Related Packages

Errors

A list of common optuna errors.

Code Examples

Here are some optuna code examples and snippets.

GitHub Issues

The optuna package has 35 open issues on GitHub

• Upgrade BoTorchSampler to use qLogExpectedImprovement instead of qExpectedImprovement
• Constant Liar strategy for GPSampler
• Use f-string and {var_name=} instead of .format and var_name={var_name}
• RetryFailedTrialCallback not working?
• Use TYPE_CHECKING if necessary
• [RFC] Enable trial report multiple intermediate values by trial.report

See more issues on GitHub