MLPro Documentations Logo

Home

  • MLPro - Machine Learning Professional

Welcome to MLPro

  • 1. Introduction
  • 2. Getting Started

Basic Functions

  • 3. MLPro-BF - Basic Functions

Machine Learning

  • 4. MLPro-SL - Supervised Learning
  • 5. MLPro-OA - Online Adaptivity
    • 5.1. Overview
    • 5.2. Getting Started
    • 5.3. Online Adaptive Stream Processing
      • 5.3.1. Overview
      • 5.3.2. Boundary Detection
      • 5.3.3. Normalization
      • 5.3.4. Cluster Analysis
      • 5.3.5. Anomaly Detection
      • 5.3.6. Anomaly Prediction
  • 6. MLPro-RL - Reinforcement Learning
  • 7. MLPro-GT - Game Theory

Extension Hub

  • 8. General Information
  • 9. Third-Party Extensions

Appendices

  • A1 - Example Pool
  • A2 - API Reference
  • A3 - Project MLPro
MLPro Documentations
  • 5. MLPro-OA - Online Adaptivity
  • 5.3. Online Adaptive Stream Processing
  • Edit on GitHub

5.3. Online Adaptive Stream Processing

Description under contruction. Please consider the cross reference for first technical information.

Learn more

  • 5.3.1. Overview
    • 5.3.1.1. Online Adaptive Stream Tasks
    • 5.3.1.2. Online Adaptive Stream Workflows
  • 5.3.2. Boundary Detection
  • 5.3.3. Normalization
    • 5.3.3.1. MinMax-Normalization
    • 5.3.3.2. Z-Scaling
  • 5.3.4. Cluster Analysis
  • 5.3.5. Anomaly Detection
    • 5.3.5.1. Cluster-based Anomaly Detection
  • 5.3.6. Anomaly Prediction
Cross Reference
  • Howtos MPro-OA

  • API Reference: MLPro-OA

  • API Reference: MLPro-OA Pool of Objects

  • Basics of stream processing in MLPro

Previous Next

© Copyright 2024 South Westphalia University of Applied Sciences, Germany.

Built with Sphinx using a theme provided by Read the Docs.