Optuna 2.10.0-foss-2021b

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.

Accessing Optuna 2.10.0-foss-2021b

To load the module for Optuna 2.10.0-foss-2021b please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2021b
module load Optuna/2.10.0-foss-2021b

BEAR Apps Version

2021b

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

• alembic 1.7.5
• autopage 0.5.0
• cliff 3.10.0
• cmaes 0.8.2
• cmd2 2.3.3
• colorlog 6.6.0
• Deprecated 1.2.13
• greenlet 1.1.2
• Mako 1.1.6
• optuna 2.10.0
• prettytable 3.1.1
• pyperclip 1.8.2
• redis 4.1.1
• SQLAlchemy 1.4.31
• stevedore 3.5.0
• wrapt 1.13.3

More Information

For more information visit the Optuna website.

Dependencies

This version of Optuna has a direct dependency on: foss/2021b matplotlib/3.4.3-foss-2021b plotly.py/5.4.0-GCCcore-11.2.0 Python/3.9.6-GCCcore-11.2.0 PyYAML/5.4.1-GCCcore-11.2.0 Redis/6.2.6-GCC-11.2.0 scikit-learn/1.0.1-foss-2021b SciPy-bundle/2021.10-foss-2021b tqdm/4.62.3-GCCcore-11.2.0

Other Versions

These versions of Optuna are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 12th July 2022