How-To Guides

The How-To guides provide practical, task-oriented instructions for accomplishing specific goals with Fugue. Unlike tutorials that teach concepts step-by-step, these guides assume you understand the basics and want to solve particular problems efficiently.

Guide Overview

These guides are designed to be example-first and immediately actionable. Each guide includes comprehensive, executable code examples that serve as the canonical source of truth for the patterns they demonstrate.

📊 Working with Distributions

When to use: You need to understand Fugue's type-safe distribution system, parameter validation, or probability calculations.

What you'll learn:

• Type-safe distribution usage (bool, u64, usize, f64 return types)
• Parameter validation and error handling
• Continuous vs discrete distribution patterns
• Categorical distributions and safe indexing
• Distribution composition and practical modeling
• Probability calculations and testing strategies

Key patterns: Natural return types, parameter validation, distribution testing

🏗️ Building Complex Models

When to use: You want to compose sophisticated probabilistic models using Fugue's macro system and advanced patterns.

What you'll learn:

• prob! macro for do-notation style probabilistic programming
• plate! macro for vectorized operations and array processing
• scoped_addr! macro for hierarchical address management
• Model composition and sequential dependencies
• Hierarchical modeling patterns
• Bayesian linear regression and mixture models

Key patterns: Monadic composition, vectorization, hierarchical structure

⚡ Optimizing Performance

When to use: Your models need to run efficiently in production or handle large-scale inference workloads.

What you'll learn:

• Memory pooling with TracePool and PooledPriorHandler
• Numerical stability with log-space computations
• Efficient trace construction with TraceBuilder
• Copy-on-write traces for MCMC optimization
• Batch processing patterns
• Performance monitoring and measurement

Key patterns: Memory optimization, numerical stability, batch processing

🔍 Debugging Models

When to use: Your probabilistic models aren't behaving as expected, or you need to diagnose issues in inference.

What you'll learn:

• Comprehensive trace inspection and analysis
• Type-safe value access with proper error handling
• Model validation against analytical solutions
• Safe vs strict handler usage for error resilience
• MCMC diagnostics and convergence assessment
• Performance and memory debugging techniques

Key patterns: Trace analysis, validation testing, diagnostic metrics

🎛️ Custom Handlers

When to use: You need to extend Fugue's execution model with custom behavior, logging, or specialized inference algorithms.

What you'll learn:

• Complete Handler trait implementation
• Decorator pattern for cross-cutting concerns
• Stateful handlers for analytics and monitoring
• Conditional filtering and value modification
• Performance monitoring integration
• Custom inference algorithms (MCMC-like patterns)
• Handler composition and chaining

Key patterns: Algebraic effects, decorator composition, custom inference

🚀 Production Deployment

When to use: You're deploying probabilistic models to production environments and need reliability, monitoring, and operational excellence.

What you'll learn:

• Error handling and graceful degradation patterns
• Circuit breaker implementation for fault tolerance
• Configuration management for multiple environments
• Comprehensive metrics and Prometheus integration
• Automated health checks and system validation
• Input validation and security best practices
• Deployment strategies (blue-green, canary, rolling)

Key patterns: Fault tolerance, observability, operational readiness

How to Use These Guides

🎯 Task-Oriented Approach

Each guide focuses on solving specific problems:

• Need to understand distributions? → Start with "Working with Distributions"
• Building complex models? → "Building Complex Models" has the macros and patterns
• Performance issues? → "Optimizing Performance" covers memory and numerical techniques
• Models not working? → "Debugging Models" provides diagnostic approaches
• Need custom behavior? → "Custom Handlers" shows how to extend the system
• Going to production? → "Production Deployment" covers operational concerns

📚 Progressive Complexity

The guides are ordered by increasing complexity:

graph TD
    A["📊 Working with<br/>Distributions"] --> B["🏗️ Building Complex<br/>Models"]
    B --> C["⚡ Optimizing<br/>Performance"]
    A --> D["🚀 Production<br/>Deployment"]
    E["🔍 Debugging<br/>Models"] --> F["🎛️ Custom<br/>Handlers"]
    F --> D
    C --> D

• Start with distributions and model building
• Add performance optimization when needed
• Use debugging when things go wrong
• Extend with custom handlers for specialized needs
• Deploy with production patterns for real applications

🔄 Cross-References

Guides frequently reference each other:

• Performance optimization builds on complex models
• Debugging techniques apply to all model types
• Custom handlers can incorporate performance patterns
• Production deployment uses patterns from all previous guides

📝 Example-First Philosophy

Every guide follows the same structure:

1. Executable examples as the source of truth
2. Comprehensive code snippets with anchor tags
3. Practical explanations of when and how to use patterns
4. Testing strategies to verify correctness
5. Best practices learned from real-world usage

Code Examples

All code examples in these guides are:

• ✅ Executable: Run with cargo run --example <guide_name>
• ✅ Tested: Verified with cargo test --examples
• ✅ Documented: Included via {{#include}} from example files
• ✅ Comprehensive: Cover real-world usage patterns
• ✅ Type-Safe: Leverage Rust's type system throughout

Quick Reference

Integration with Other Documentation

🚀 Getting Started → How-To Guides

After completing the Getting Started tutorials, use these guides to solve specific problems in your own projects.

📖 How-To Guides → Tutorials

For deeper conceptual understanding, see the Tutorials section which provides comprehensive examples of complete applications.

🔧 How-To Guides → API Reference

For detailed API documentation, consult the API Reference section for specific functions and types mentioned in these guides.

Contributing

When adding new How-To guides:

1. Create executable examples first in examples/
2. Use anchor tags to mark code sections for inclusion
3. Write the guide using {{#include}} for all code snippets
4. Test thoroughly with both cargo test and mdbook test
5. Update this README with the new guide information

Each guide should solve specific, practical problems that users commonly encounter when working with Fugue in real applications.