omega-ml
  • Introduction
  • User Guide
    • Getting started
    • Generative AI
    • Classic ML
    • Task Automation
    • Deployment and Operations
    • Command-line interface
      • Using the command-line interface
      • Working with models
      • Working with datasets
      • Working with scripts
      • Working with notebooks
      • Working with the runtime
    • Advanced features
  • Deploying omega-ml
  • Extending omega-ml
  • Reference
  • Support
  • Changes
omega-ml
  • User Guide
  • Command-line interface
  • View page source

Command-line interface¶

The command line interface provides easy and direct access to all functionality in omega-ml.

  • Using the command-line interface
    • Getting help
  • Working with models
    • Storing a model
    • Listing models
    • Dropping models
    • Showing a model’s metadata
  • Working with datasets
    • Storing a dataset
    • Retrieving a dataset
    • Working with remote files
  • Working with scripts
    • Packaging local modules
    • Packaging pypi-hosted modules
    • Packaging git-hosted modules
    • Installing modules
    • Running scripts remotely
    • Running scripts locally
  • Working with notebooks
    • Storing a notebook
    • Retrieve a notebook
    • Running notebooks
    • Scheduling notebooks
    • Checking the status of notebook runs
  • Working with the runtime
    • Inspect runtime status
    • Monitor live events
    • See active work items
    • Ping the worker
    • Restart the worker
    • Install new packages
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