ml-deployment-helper - ML Model Production Deployment Tool
Prepares ML models for production deployment with containerization, APIs, monitoring, and A/B testing infrastructure
Tags
Updated: 2026-05-11Capabilities
Typical Inputs
Typical Outputs
What this skill does
- containerize model
- create API endpoint
- setup monitoring
- create A/B test
- load test model
- deploy to production
- rollback model
- version model
Inputs
- trained model file
- model framework
- API configuration
- monitoring metrics
- A/B test parameters
- traffic split ratio
Outputs
- Docker container
- REST API application
- monitoring dashboard
- A/B test infrastructure
- deployment artifacts
- load test results
Requirements
- Docker environment
- container runtime
- monitoring system
- model dependencies