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Optuna on Windows Server 2019

Apps4Rent LLC

Optuna on Windows Server 2019

Apps4Rent LLC

Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.

Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API.

Key features of Optuna:

  • Lightweight, versatile, and platform agnostic architecture: Handle a wide variety of tasks with a simple installation that has few requirements.
  • Pythonic search spaces: Define search spaces using familiar Python syntax including conditionals and loops.
  • Open Source.
  • Efficient optimization algorithms: Adopt state-of-the-art algorithms for sampling hyperparameters and efficiently pruning unpromising trials.
  • Easy parallelization: Scale studies to tens or hundreds of workers with little or no changes to the code.
  • Quick visualization: Inspect optimization histories from a variety of plotting functions.
  • To check the version of Optuna, run the Windows Command Prompt as administrator and follow the steps below: i) Change the directory to C:\Optunaenv by running: cd C:\Optunaenv ii) Activate the virtual environment created to install Optuna by running: my-env\Scripts\activate.bat iii) To check the version of Optuna: pip show optuna (You will see the version as: 3.5.0) iv) To check the version of Optuna dashboard: pip show optuna-dashboard (You will see the version as: 0.14.0)

    We at Apps4Rent help you deploy Optuna across different operating systems on Azure. Tested by the Apps4rent engineers, Optuna on Windows Server 2019 is supported by Azure cloud infrastructure precisely. In case you have any issues, our Azure experts are available 24/7 via phone, chat, and email. Get in touch today!

    Disclaimer: Apps4Rent does not offer commercial licenses of any of the products mentioned above. The products come with open source licenses. 

    Default ports:

    • RDP: 3389
    • HTTP: 80
    • HTTPS: 443

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