Core Components
The framework is organized into specific modules, each handling a distinct part of the scarce-resource learning pipeline.
Module Breakdown
The package layout follows a domain-driven design:
engine/: Multi-Path Inference Engine. Contains the Bandit algorithms and path orchestrators.federation/: Decentralized Learning. Manage peer discovery, trust scoring, and packet exchange.meta/: Meta-Learning. Algorithms for cross-domain knowledge transfer (Reptile).simulation/: 3D Simulation. Tools for 'What-If' analysis and agent-based modeling.governor/: DRG. The "nervous system" that monitors CPU/RAM and throttles operations.stream/: Stream Processing. Adaptive data ingestion with backpressure.
Key Interfaces
The primary interface classes you will interact with:
MPIEOrchestrator: The main brain for online inference.FederationCoordinator: The networking interface.DynamicResourceGovernor: The resource guard.