hyperopt 0.2.7

Hyperopt is a Python library for serial and parallel optimization over awkward search spaces, which may include real-valued, discrete, and conditional dimensions.

Stars: 7619, Watchers: 7619, Forks: 1077, Open Issues: 4

The hyperopt/hyperopt repo was created 14 years ago and the last code push was 1 weeks ago.
The project is extremely popular with a mindblowing 7619 github stars!

How to Install hyperopt

You can install hyperopt using pip

pip install hyperopt

or add it to a project with poetry

poetry add hyperopt

Package Details

Author

James Bergstra

License

BSD

Homepage

https://hyperopt.github.io/hyperopt

PyPi:

https://pypi.org/project/hyperopt/

GitHub Repo:

https://github.com/hyperopt/hyperopt

Classifiers

• Scientific/Engineering
• Software Development

Related Packages

Errors

A list of common hyperopt errors.

Code Examples

Here are some hyperopt code examples and snippets.

GitHub Issues

The hyperopt package has 4 open issues on GitHub

• Convert hp.choice to native integer.
• tpe "n_startup_jobs" and fmin "points_to_evaluate" interaction
• Please build a new version of hyperopt and share it at pypip
• [pre-commit.ci] pre-commit autoupdate

See more issues on GitHub