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v1.4.4

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  • 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
  • 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
    • Core Functions
    • Pool Objects
      • MLPro-BF - Basic Functions
        • BF-STREAMS - Stream Processing
        • BF-SYSTEMS - Systems
      • MLPro-SL - Supervised Learning
      • MLPro-RL - Reinforcement Learning
      • MLPro-GT - Game Theory
      • MLPro-OA - Online Adaptivity
    • 3rd Party Support
  • A3 - Project MLPro
MLPro Documentations
  • A2 - API Reference
  • Pool Objects
  • MLPro-BF - Basic Functions
  • BF-STREAMS - Stream Processing
  • Native Sample Streams
  • Edit on GitHub

Native Sample Streams

  • Data from CSV files
    • StreamMLProCSV
  • 10D Random Instances
    • StreamMLProRnd10D
  • 2D Double Spiral
    • DoubleSpiral2D
  • Multivariate Point Outliers
    • StreamMLProPOutliers
  • Random Point Clouds (2D, 3D, ND)
    • StreamMLProClouds
    • StreamMLProClouds2D4C1000Static
    • StreamMLProClouds3D8C2000Static
    • StreamMLProClouds2D4C5000Dynamic
    • StreamMLProClouds3D8C10000Dynamic
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