MLPro-Int-Optuna - Integration of Optuna into MLPro

Welcome to MLPro-Int-Optuna, an extension to MLPro to integrate the Optuna package. MLPro is a middleware framework for standardized machine learning in Python. It is developed by the South Westphalia University of Applied Sciences, Germany, and provides standards, templates, and processes for hybrid machine learning applications. Optuna, in turn, provides state-of-the-art algorithms for hyper parameter tuning in the context of machine learning model development.

MLPro-Int-Optuna provides wrapper classes that enable the use of the Hyper Parameter Tuning mechanism in your MLPro applications. The use of these wrappers is illustrated in following example programs.

Preparation

Before running the examples, please install the latest versions of MLPro, Optuna, and MLPro-Int-Optuna as follows:

pip install mlpro-int-optuna[full] --upgrade

See also

• MLPro - Machine Learning Professional

• MLPro-BF-ML - Sub-framework for machine learning

• Optuna - Distributed Asynchronous Hyper-parameter Optimization

• Further MLPro extensions

• MLPro-Int-Optuna on GitHub

EXAMPLE POOL

• Howto RL-HT-001: Hyperparameter Tuning using Optuna

API REFERENCES

• Optuna
  • WrHPTOptuna

ABOUT

• Release Notes
• Disclaimer
  • Disclaimers for MLPro Usage
  • Consent