MLPro Documentations
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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
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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 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