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v1.1.0

Welcome to MLPro

  • 1. Introduction
  • 2. Getting Started

Basic Functions

  • 3. MLPro-BF - Basic Functions

Machine Learning

  • 4. MLPro-SL - Supervised Learning
  • 5. MLPro-RL - Reinforcement Learning
  • 6. MLPro-GT - Game Theory
  • 7. MLPro-OA - Online Adaptivity

Appendices

  • A1 - Example Pool
    • MLPro-BF - Basic Functions
      • Layer 0 - Elementary Functions
      • Layer 1 - Computation
      • Layer 2 - Mathematics
      • Layer 3 - Application Support
        • Stream Processing
        • Physics
        • State-based Systems
      • Layer 4 - Machine Learning
    • MLPro-SL - Supervised Learning
    • MLPro-RL - Reinforcement Learning
    • MLPro-GT - Game Theory
    • MLPro-OA - Online Adaptivity
  • A2 - API Reference
  • A3 - Project MLPro
MLPro Documentations
  • A1 - Example Pool
  • MLPro-BF - Basic Functions
  • Layer 3 - Application Support
  • Edit on GitHub

Layer 3 - Application Support

  • Stream Processing
    • Howto BF-STREAMS-001: Accessing Native Data From MLPro
    • Howto BF-STREAMS-051: Accessing Data from OpenML
    • Howto BF-STREAMS-052: Accessing Data from Scikit-Learn
    • Howto BF-STREAMS-053: Accessing Data from River
    • Howto BF-STREAMS-101: Basics of Streams
    • Howto BF-STREAMS-102: Tasks Workflows And Stream Scenarios
    • Howto BF-STREAMS-110: Window
    • Howto BF-STREAMS-111: Rearranger (2D)
    • Howto BF-STREAMS-112: Rearranger (3D)
    • Howto BF-STREAMS-113: Rearranger (nD)
    • Howto BF-STREAMS-114: Deriver
  • Physics
    • Howto BF-PHYSICS-001: Transfer Functions
    • Howto BF-PHYSICS-002: Unit Converter
  • State-based Systems
    • Howto BF-SYSTEMS-001: System, Controller, Actuator, Sensor
    • Howto BF-SYSTEMS-002: Double Pendulum Systems wrapped with MuJoCo
    • Howto BF-SYSTEMS-003: Cartpole Continuous Systems wrapped with MuJoCo
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