Editing a Pipeline

Edit (update) a Data Science pipeline to change some options.

When a Data Science pipeline is in an Active or Creating state, you can change the following values:

  • Name

  • Description

  • Custom environment variables

  • Command line arguments

  • Maximum runtime

  • Logging configuration

  • Tags

    1. Use the Console to sign in to a tenancy with the necessary policies.
    2. Open the navigation menu and select Analytics & AI. Under Machine Learning, select Data Science.
    3. Select the compartment that contains the project with the pipeline.

      All projects in the compartment are listed.

    4. Select the name of the project.

      The project details page opens and lists the notebook sessions.

    5. Under Resources, select Pipelines.
    6. Select the name of a pipeline to edit.

      The pipeline details page is displayed including the steps.

    7. Select Edit.
    8. Make the necessary changes, and then select Save changes.
  • Use the oci data-science pipeline update command and required parameters to edit (update) a pipeline:

    oci data-science pipeline update --pipeline-id <pipeline-id>... [OPTIONS]

    For a complete list of flags and variable options for CLI commands, see the CLI Command Reference.

  • Use the UpdatePipeline operation to edit (update) a pipeline.