Paper ScienceDirect MLWA - Arend e.a. - "MLPro 2.0 - Online machine learning in Python"

This repository provides the example programs described in Section 6. MLPro-OA in practice of the above journal paper.

Preparation

Install these Python packages: stable or latest

Note for running an example from this repository: When starting an experiment, the workflow task windows appear. These must be manually arranged on the screen once. The positions and sizes of the windows are restored the next time the program is started. The experiment begins after confirming the window positions with [ENTER].

Example 1a: Auto-renormalization of drifting stream data (min-max)

Python script for Example 1a

Trouble accessing OpenML dataset 1477?

Example 1b: Auto-renormalization of drifting stream data (z-transformation)

Python script for Example 1b

Trouble accessing OpenML dataset 1477?

Example 2a: Online clustering using KMeans@River (2D)

Python script for Example 2a

Example 2b: Online clustering using KMeans@River (3D)

Python script for Example 2b

Example 3a: Anomaly detection using LOF@scikit-learn (3D)

Python script for Example 3a

Example 3b: Anomaly detection using LOF@scikit-learn (ND)

Python script for Example 3b

See also

ScienceDirect - Machine Learning with Applications

MLPro - the integrative middleware framework for standardized machine learning in Python

South Westphalia University of Applied Sciences, Dept. of Automation Technology and Learning Systems

Authors

Detlef Arend: email | orcid | researchgate | linkedin

Laxmikant Shrikant Baheti: email | orcid | researchgate | linkedin

Steve Yuwono: email | orcid | researchgate

Syamraj Purushamparambil Satheesh Kumar: email

Andreas Schwung: email | orcid | researchgate