MLPro Documentations
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MLPro - Elevate your machine learning journey
Welcome to MLPro
1. Introduction
2. Getting started
3. News ticker
Basic Functions
4. MLPro-BF - Basic Functions
4.1. Overview
4.2. Layer 0 - Elementary functions
4.3. Layer 1 - Computation
4.4. Layer 2 - Mathematics
4.5. Layer 3 - Application support
4.6. Layer 4 - Machine learning
Machine Learning
5. MLPro-SL - Supervised Learning
6. MLPro-OA - Online Adaptivity
7. MLPro-RL - Reinforcement Learning
8. MLPro-GT - Game Theory
Extension Hub
9. General information
10. Third-party extensions
Appendices
A1 - Example pool
A2 - API reference
A3 - Project MLPro
MLPro Documentations
4.
MLPro-BF - Basic Functions
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4.
MLPro-BF - Basic Functions
4.1. Overview
4.2. Layer 0 - Elementary functions
4.2.1. Logging
4.2.2. Time measurement
4.2.3. Persistence
4.2.4. Data management
4.2.5. Plotting and visualization
4.2.6. Scientific referencing
4.2.7. User interaction
4.3. Layer 1 - Computation
4.3.1. Event handling
4.3.2. Multitasking
4.3.3. Operations
4.4. Layer 2 - Mathematics
4.4.1. Normalization
4.4.2. Geometry
4.5. Layer 3 - Application support
4.5.1. Stream processing
4.5.1.1. Streams
4.5.1.2. Stream processing
4.5.1.3. Pool objects
4.5.1.4. 3rd party support
4.5.2. Physics
4.5.2.1. Transfer functions
4.5.2.2. Unit converter
4.5.3. State-based systems
4.5.3.1. MuJoCo integration
4.5.3.2. Hardware access
4.6. Layer 4 - Machine learning
4.6.1. The adaptive model
4.6.2. Machine learning scenarios
4.6.3. Training and tuning
4.6.4. Adaptive workflows
4.6.5. Adaptive functions