Deploying models and pipelines

• 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