Expand description
Core Types and Configuration for Hyperdimensional Computing
This module defines the fundamental data structures and configuration for hyperdimensional computing operations, including hypervectors and various result types used throughout the HDC system.
Structs§
- Abstraction
Level - Abstraction level for hierarchical reasoning
- Adaptation
Parameters - Adaptation parameters for online learning
- Composition
Result - Result of compositional reasoning
- Consolidation
Result - Consolidation result for memory operations
- Experience
- Experience for continual learning
- Feature
Detection - Feature detection result
- HDCConfig
- Configuration for hyperdimensional computing
- Hypervector
- Hyperdimensional vector representation
- Meta
Cognitive Assessment - Meta-cognitive assessment
- Multi
Modal Fusion Config - Multi-modal fusion configuration
- Online
Learning Result - Result of online learning step
- Pattern
Match - Pattern match result
- Performance
Metrics - Performance metrics
- Prediction
Result - Prediction result
- Reasoning
Chain - Reasoning chain for logical inference
- Sequence
Encoding - Sequence encoding result
- Update
Result - Update result for online learning
Enums§
- Fusion
Method - Fusion method enumeration