Engines

Provides overview, installation, set up, configuration, and customization information for Cloudera Data Science Workbench engines.

Engines

Provides an overview of engines and walks you through some of the ways you can customize engine environments to meet the requirements of your users and projects.

Models and Experiments

Provides information on how to build, deploy, and manage models on Cloudera Data Science Workbench.

Cuda Engine (Tech Preview)

Provides information on a custom engine that comes enabled with CUDA to make it easier for users to get started with using GPUs on CDSW.

Engine Configuration

Describes how to configure and manage engines in Cloudera Data Science Workbench.

Engine Dependencies

Describes the availabile options for mounting a project's dependencies into its engine environment.

Environment Variables

Provides a description of engine environment variables and how to use them to customize your experience with Workbench console.

Package Libraries

Describes how to install and use additional libraries for specific project versions.

Extensible Engines

Describes how to create and install customized engine images.

Engines Packaging

Provides a list of packages included in the Python and R kernels of the base engine that ships with each release of Cloudera Data Science Workbench.