Skip to main content
You can view a training job to see its details, such as its status, rendered DAG code, and source table.

​
Prerequisites

Before starting this task, ensure you have the following:
  • Required roles: nx1_automl_admin, nx1_automl_user, or nx1_engineer.
  • A previously created training job.

​
View a training job

Perform these steps to view a training job.
  1. Log in to NexusOne.
  2. On the top navigation bar, hover your mouse over AI and then select AutoML > Training.
  3. Select the training job you want to view.
  4. After selecting the feature table, you are going to see two tabs: Overview and Rendered DAG.
    • Click Overview to view details, such as the source feature table, DataHub domain, or Airflow DAG.
    • Click the Rendered DAG tab to view the Python DAG content that created the training job.
  5. Optional: When troubleshooting a failed training job, click the Overview tab and the training job’s Airflow DAG name to view the DAG in Airflow.

​
Additional resources

For a high-level overview of training jobs and how they’re used in NexusOne, refer to Training.