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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
  • BF-STREAMS - Stream Processing
  • Samplers
  • Edit on GitHub

Samplers

  • Min-Wise Samplers
    • SamplerMinWise
  • Random Samplers
    • SamplerRND
  • Reservoir Samplers with Algorithm R
    • SamplerReservoir
  • Weighted Random Samplers
    • SamplerWeightedRND
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