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v0.8.1

1 Introduction

  • 1.1 What is MLPro?
  • 1.2 Getting Started
  • 1.3 Architecture
  • 1.4 Dependencies

2 MLPro-BF – Basic Functions

  • 2.1 Elementary Functions
  • 2.2 Mathematics
  • 2.3 Machine Learning

3 MLPro-SL - Supervised Learning

  • 3.1 Overview

4 MLPro-RL – Reinforcement Learning

  • 4.1 Overview
  • 4.2 Environments
  • 4.3 Agents
  • 4.4 RL-Scenarios
  • 4.5 Training
  • 4.6 3rd Party Support

5 MLPro-GT – Game Theory

  • 5.1 Overview
  • 5.2 Players
  • 5.3 Game Boards

6 MLPro-UI – Interactive ML

  • 6.1 UI Framework SciUI

Appendix 1: Examples

  • Basic Functions
  • Reinforcement Learning
  • Game Theory
  • User Interface

Appendix 2: API Reference

  • Core Functions
    • Basic Functions
    • Supervised Learning
    • Reinforcement Learning
    • Game Theory
    • UI Framework - SciUI
  • Wrappers
  • Pool Objects
  • Templates

Appendix 3: Project MLPro

  • Release Notes
  • Papers
  • Contribution
MLPro Documentations
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  • Core Functions
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Core Functions

  • Basic Functions
    • Various
    • Mathematics
    • Data Management
    • Data Plotting
    • Machine Learning
    • Exceptions
  • Supervised Learning
    • Models
  • Reinforcement Learning
    • States, Actions, Rewards
    • Environments
    • Agents
    • Training and Tuning
  • Game Theory
    • Models
  • UI Framework - SciUI
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