Run your pipeline

You can upload and run your pipeline directly from the pipeline editor. Use either your newly created pipeline or the provided 4-train-save.pipeline file.

Prerequisites

  • You set the S3 storage bucket keys, as described in Configure storage connections.

  • You configured a pipeline server, as described in Enable AI pipelines.

  • If you created your workbench before the pipeline server was available, you stopped and restarted the workbench.

Procedure

  1. In the JupyterLab pipeline editor toolbar, click Run Pipeline.

    Pipeline Run Button

  2. Enter a name for your pipeline.

  3. Verify that the Runtime Configuration: is set to Pipeline.

  4. Click OK.

    NOTE: If you see an error message stating that "no runtime configuration for Pipelines is defined", you might have created your workbench before the pipeline server was available. To address this error, you must verify that you configured the pipeline server and then restart the workbench.

  5. In the OpenShift AI dashboard, open your project and expand the newly created pipeline.

    New pipeline expanded

  6. Click View runs.

    View runs for selected pipeline

  7. Click your run and then view the pipeline run in progress.

    Pipeline run progress
Verification

  • The models/fraud/1/model.onnx file is in your S3 bucket.

Next step