MLPro Documentations
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MLPro - Machine Learning Professional
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
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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 Objects
3.5.1.4. 3rd Party Support
3.5.2. Physics
3.5.2.1. Transfer Function
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. ML Scenarios
3.6.3. Training and Tuning
3.6.4. Adaptive Workflows
3.6.5. Adaptive Functions
3.6.6. Adaptive Systems (coming soon)
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