# Machine Learning System [AIR-3][AIS-3][BPC-3]
This directory contains the Machine Learning system implementation for Anya Core, following official Bitcoin Improvement Proposals (BIPs) standards.
## Overview
The ML system provides advanced AI capabilities for the Anya Core platform, including Bitcoin analytics, security monitoring, and system intelligence. It follows a hexagonal architecture pattern with clearly defined inputs, outputs, and domain logic.
## Key Components
### ML*/Agent Checker System
The Agent Checker system monitors and verifies the health and readiness of all system components, using ML-based analysis to determine component status and system stage.
- System stage management (Development, Production, Release)
- Component readiness assessment with detailed metrics
- Input monitoring and analysis
- Thread-safe implementation with proper locking
### Model Management
The Model Management component handles ML model deployment, versioning, and lifecycle management.
- Model versioning and tracking
- Model loading and initialization
- Model metadata management
- Model evaluation and performance tracking
### Inference Engine
The Inference Engine executes ML models and provides prediction capabilities to the system.
- Real-time inference
- Batch processing
- Hardware acceleration support
- Model optimization
### Performance Monitoring
The Performance Monitoring component tracks ML model and system performance metrics.
- Resource monitoring (CPU, Memory, Network)
- Performance metrics tracking
- Target-based optimization
- Auto-save functionality for configuration changes
## Architecture
```
+------------------+
| Inputs |
+--------+---------+
|
+--------v---------+
| Domain |
| Models |
+--------+---------+
|
+-----------+--------v---------+-----------+
| | | |
+--------v------+ +--v-------------+ +--v---------+ +-v-------------+
+---------------+ +----------------+ +------------+ +---------------+
```
## Implementation Details
- **Status**: 🔄 75% Complete
- **Dependencies**: TensorFlow, PyTorch (via bindings)
- **Implementation Target**: Q3 2025
## Usage Examples
### Agent Checker
```rust
use anya_core::ml::agent::{AgentChecker, SystemStage};
// Create a new agent checker
let agent_checker = AgentChecker::new();
// Register components
agent_checker.register_component("bitcoin_core")?;
agent_checker.register_component("lightning_node")?;
// Check system stage
let stage = agent_checker.get_system_stage()?;
if stage == SystemStage::Production {
println!("System is in production stage with 90%+ readiness");
}
// Get component status
let status = agent_checker.get_component_status("bitcoin_core")?;
println!("Bitcoin Core readiness: {}%", status.readiness * 100.0);
```
### Inference Engine
```rust
use anya_core::ml::inference::{InferenceEngine, ModelType};
// Create an inference engine
let engine = InferenceEngine::new();
// Load a model
let model = engine.load_model("transaction_classifier", ModelType::TensorFlow)?;
// Run inference
let input = vec![0.5, 0.2, 0.1, 0.7, 0.3];
let prediction = engine.run_inference(&model, &input)?;
println!("Prediction: {:?}", prediction);
```
## Bitcoin Protocol Compliance
The ML system adheres to Bitcoin protocol standards and AI ethics guidelines:
- Follows BIP standards for Bitcoin data handling
- Implements ethical AI principles
- Ensures data privacy and security
- Provides explainable AI for critical decisions
## Documentation
For more information, see:
- [ML System Architecture](../../docs/ML_SYSTEM_ARCHITECTURE.md)
- [Implementation Status](../../docs/IMPLEMENTATION_MILESTONES.md)
- [AI Labeling Standards](../../docs/standards/AI_LABELING.md)
## Version Information
- Current Version: 3.1.0
- Last Updated: 2025-04-29
- Bitcoin Development Framework: v2.5
*This component complies with [AI Labeling Standards](../../docs/standards/AI_LABELING.md)*