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  • MLPro - Elevate your machine learning journey

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
    • MLPro-BF - Basic Functions
      • Layer 0 - Elementary functions
      • Layer 1 - Computation
      • Layer 2 - Mathemathics
      • Layer 3 - Application support
      • Layer 4 - Machine learning
      • Pool objects
        • BF-STREAMS - Stream Processing
        • BF-SYSTEMS - Systems
    • MLPro-SL - Supervised Learning
    • MLPro-OA - Online Adaptivity
    • MLPro-RL - Reinforcement Learning
    • MLPro-GT - Game Theory
    • 3rd Party Support
  • A3 - Project MLPro
MLPro Documentations
  • A2 - API reference
  • MLPro-BF - Basic Functions
  • Pool objects
  • Edit on GitHub

Pool objects

  • BF-STREAMS - Stream Processing
    • Native Sample Streams
      • Data from CSV files
      • 10D Random Instances
      • 2D Double Spiral
      • Multivariate Point Outliers
      • Random Point Clouds (2D, 3D, ND)
    • Stream Tasks
      • Deriver
      • Rearranger
      • Windows
    • Samplers
      • Min-Wise Samplers
      • Random Samplers
      • Reservoir Samplers with Algorithm R
      • Weighted Random Samplers
  • BF-SYSTEMS - Systems
    • Double Pendulum System
      • DoublePendulumSystemRoot
      • DoublePendulumSystemS4
      • DoublePendulumSystemS7
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