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ML Service Versioning

This section documents version management, model versioning, and release procedures for the ML service.

Overview​

The ML service versioning documentation covers model versioning strategies, service release management, and compatibility guidelines for machine learning components.

Model Versioning​

Model Version Management​

  • Semantic versioning for models
  • Model registry management
  • Version tracking and lineage
  • Model artifact storage

Version Deployment​

  • Multi-version model serving
  • A/B testing frameworks
  • Gradual rollout strategies
  • Rollback procedures

Service Versioning​

API Versioning​

  • API version management
  • Backward compatibility
  • Deprecation procedures
  • Migration guidelines

Service Releases​

  • Release planning and coordination
  • Testing and validation procedures
  • Deployment automation
  • Release documentation

Compatibility Management​

Model Compatibility​

  • Input/output format compatibility
  • Feature compatibility matrices
  • Model migration procedures
  • Legacy model support

Data Compatibility​

  • Training data versioning
  • Feature schema evolution
  • Data migration procedures
  • Backward compatibility assurance

Release Management​

Release Process​

  • Development to production pipeline
  • Quality assurance procedures
  • Performance validation
  • Security compliance

Release Types​

  • Stable model releases
  • Experimental model versions
  • Hotfix deployments
  • Emergency rollbacks

Version Control​

Code Versioning​

  • Source code version management
  • Configuration versioning
  • Pipeline version control
  • Dependency management

Documentation Versioning​

  • Version-specific documentation
  • Change log maintenance
  • Migration guide updates
  • API documentation alignment

Getting Started​

  1. Review the ML service overview
  2. Understand the service architecture
  3. Check current model versions and compatibility
  4. Follow version-specific deployment procedures

Contributing​

When contributing to version management, ensure proper documentation of version changes, compatibility impacts, and migration procedures. Follow our contributing guidelines for versioning contributions.