_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-optuna 4.9.0
Propagated dependencies: python-alembic@1.18.1 python-colorlog@6.9.0 python-numpy@2.4.6 python-packaging@26.2 python-pyyaml@6.0.3 python-sqlalchemy@1.4.54 python-tqdm@4.67.1
Channel: guix-science
Location: guix-science/packages/machine-learning.scm (guix-science packages machine-learning)
Home page: https://optuna.org/
Licenses: Expat
Build system: pyproject
Synopsis: Automatic hyperparameter optimization framework
Description:

Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API. Thanks to our define-by-run API, the code written with Optuna enjoys high modularity, and the user of Optuna can dynamically construct the search spaces for the hyperparameters.

Total packages: 1