Run Experiment / Deploy Model

Once the Docker image has been built and pushed to the internal registry, the experiment/model can now be executed within this isolated environment.

In case of experiments, you can track live progress as the experiment executes in the experiment's Session tab.

Unlike experiments, models do not display live execution progress in a console. Behind the scenes, Cloudera Data Science Workbench will move on to deploying the model in a serving environment based on the computing resources and replicas you requested. Once deployed you can go to the model's Monitoring page to view statistics on the number of requests served/dropped and stderr/stdout logs for the model replicas.