MLPro-Int-OpenML - Integration of OpenML into MLPro

Welcome to MLPro-Int-OpenML, an extension to MLPro to integrate the OpenML 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. OpenML, in turn, provides a vast amount of sample datasets, combined with a benchmark systematics to enable a standardized assessment of ML algorithms.

MLPro-Int-OpenML provides wrapper classes that enable the use of OpenML datasets in your MLPro applications. The use of these wrappers is illustrated in example programs.

Preparation

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

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

See also

• MLPro - Machine Learning Professional

• MLPro-OA - Sub-framework for online machine learning

• OpenML - A worldwide machine learning lab

• Further MLPro extensions

• MLPro-Int-OpenML on GitHub

Example Pool

• Reuse of OpenML Datasets as Streams
  • Howto BF-STREAMS-001: Accessing Data Streams From OpenML

API Reference

• Wrappers for OpenML Data Streams
  • WrStreamProviderOpenML
  • WrStreamOpenML

About

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