Configuring Engine Environments for Experiments and Models

To allow for versioning of experiments and models, Cloudera Data Science Workbench executes each experiment and model in a completely isolated engine.

Every time a model or experiment is kicked off, Cloudera Data Science Workbench creates a new isolated Docker image where the model or experiment is executed. These engines are built by extending the project's designated default engine image to include the code to be executed and any dependencies as specified.

For details on how this process works and how to configure these environments, see