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ML System Design Document Review Checklist

Problem Definition

• Clear problem statement with measurable objectives
• Well-defined scope and constraints
• Identified stakeholders and their requirements
• Justified business value and impact
• Analyzed existing solutions and their limitations
• Assessed risks and failure modes
• Estimated costs of mistakes
• Defined success criteria

Metrics and Losses

• Defined business metrics
• Selected appropriate model metrics
• Justified loss functions
• Aligned metrics with business goals
• Considered trade-offs
• Defined evaluation strategy
• Set up measurement framework
• Planned A/B testing approach

Data Considerations

• Identified all data sources (internal/external)
• Assessed data quality and freshness
• Documented data pipeline architecture
• Addressed data privacy and security
• Considered data versioning strategy
• Evaluated data storage requirements
• Planned data labeling process
• Documented metadata usage
• Designed ETL pipeline
• Set up data quality checks

Validation Strategy

• Defined validation requirements
• Designed validation schema
• Prevented data leakage
• Planned update frequency
• Set up cross-validation strategy
• Considered temporal aspects
• Documented validation process
• Planned for data drift

Baseline Solutions

• Defined constant baselines
• Selected model baselines
• Identified feature baselines
• Set minimum performance requirements
• Planned comparison methodology
• Documented baseline results
• Set up improvement metrics

Error Analysis

• Planned learning curve analysis
• Set up residual analysis
• Identified edge cases
• Planned monitoring of failure modes
• Designed error tracking
• Set up performance analysis
• Planned improvement process

Training Pipeline

• Designed training architecture
• Selected appropriate tools
• Planned data preprocessing
• Set up experiment tracking
• Defined model versioning
• Planned resource allocation
• Documented training process
• Set up monitoring

Feature Engineering

• Defined feature selection criteria
• Listed initial features
• Planned feature tests
• Set up feature monitoring
• Documented feature dependencies
• Planned feature updates
• Considered computational constraints

Integration

• Designed API interfaces
• Planned release cycle
• Set up fallback strategies
• Defined operational procedures
• Planned monitoring and alerts
• Documented deployment process
• Set up incident response
• Defined SLAs

Documentation

• Clear writing and organization
• Technical details sufficient
• Diagrams and visualizations
• References and citations
• Glossary of terms
• Version history
• Maintenance procedures
• Update guidelines

System Architecture

• Detailed infrastructure requirements
• Scalability considerations
• Latency requirements
• Security measures
• Integration points
• Deployment strategy

Evaluation Strategy

• Clear success metrics
• A/B testing methodology
• Performance benchmarks
• Monitoring plan
• Alert thresholds
• Fallback strategies

Implementation Plan

• Realistic timeline
• Resource requirements
• Dependencies identified
• Risk assessment
• Mitigation strategies
• Success criteria

Maintenance & Operations

• Monitoring setup
• Update procedures
• Backup strategies
• Incident response plan
• SLAs defined
• Resource scaling plan