omega-ml
  • Introduction
  • User Guide
    • Getting started
    • Generative AI
    • Classic ML
    • Task Automation
    • Deployment and Operations
      • What is the runtime?
      • Using the runtime for MLOps
      • The omegam-ml REST API
      • Logging runtime execution
      • Monitoring the runtime
    • Command-line interface
    • Advanced features
  • Deploying omega-ml
  • Extending omega-ml
  • Reference
  • Support
  • Changes
omega-ml
  • User Guide
  • Deployment and Operations
  • View page source

Deployment and OperationsΒΆ

  • What is the runtime?
    • Concepts
    • Running tasks
    • Submitting tasks to specific workers
    • Asynchronous execution
    • Parallel and pipelined task execution
  • Using the runtime for MLOps
    • Training a model
    • Using a model for prediction
    • Scoring a model
    • Running gridsearch
    • Tracking experiments
  • The omegam-ml REST API
    • Starting the REST API
    • API Reference
    • API Semantics
    • Working with data (REST API)
    • Working with models (REST API)
    • Working with jobs (REST API)
  • Logging runtime execution
    • How it works
    • Logging in scripts or jobs
    • Profiling execution
  • Monitoring the runtime
    • Using the cli
    • Using the console
    • Using a browser
    • Using celery commands
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