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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
    • 3.1. Overview
    • 3.2. Layer 0 - Elementary functions
    • 3.3. Layer 1 - Computation
    • 3.4. Layer 2 - Mathematics
    • 3.5. Layer 3 - Application support
    • 3.6. Layer 4 - Machine learning

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
  • A3 - Project MLPro
MLPro Documentations
  • 3. MLPro-BF - Basic Functions
  • Edit on GitHub

3. MLPro-BF - Basic Functions

  • 3.1. Overview
  • 3.2. Layer 0 - Elementary functions
    • 3.2.1. Logging
    • 3.2.2. Time measurement
    • 3.2.3. Persistence
    • 3.2.4. Data management
    • 3.2.5. Plotting and visualization
    • 3.2.6. Scientific referencing
    • 3.2.7. User interaction
  • 3.3. Layer 1 - Computation
    • 3.3.1. Event handling
    • 3.3.2. Multitasking
    • 3.3.3. Operations
  • 3.4. Layer 2 - Mathematics
    • 3.4.1. Normalization
    • 3.4.2. Geometry
  • 3.5. Layer 3 - Application support
    • 3.5.1. Stream processing
      • 3.5.1.1. Streams
      • 3.5.1.2. Stream processing
      • 3.5.1.3. Pool ojects
      • 3.5.1.4. 3rd party support
    • 3.5.2. Physics
      • 3.5.2.1. Transfer functions
      • 3.5.2.2. Unit converter
    • 3.5.3. State-based systems
      • 3.5.3.1. MuJoCo integration
      • 3.5.3.2. Hardware access
  • 3.6. Layer 4 - Machine learning
    • 3.6.1. The adaptive model
    • 3.6.2. Machine learning scenarios
    • 3.6.3. Training and tuning
    • 3.6.4. Adaptive workflows
    • 3.6.5. Adaptive functions
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