Oracle Machine Learning Notebooks provides a conda interpreter to install third-party R libraries in a conda environment for use within OML Notebooks sessions and OML4R embedded execution invocations. Conda is an open-source package and environment management system that enables the use of environments containing third-party R libraries.

Administrators create conda environments and install packages that can then be accessed by non-administrator users and loaded into their OML Notebooks session. The conda environments can be used by the OML4R R, SQL, and REST APIs.

• Conda commands
  This topic contains common commands used by ADMIN while creating and testing conda environments. Conda is an open-source package and environment management system that enables the use of environments containing third-party R libraries.
• Administrative Tasks for Creating and Saving a Conda Environment
  In OML Notebooks, user ADMIN can manage the lifecycle of the OML user's conda environments, including creating and deleting environments and installing and deleting packages.
• OML User Tasks for Downloading and Using an Available Conda Environment
  Once user ADMIN installs the environment in Object Storage, as an OML user, you can download, activate, and use it in R paragraphs in notebooks and with embedded execution.
• Using Conda Environments with the SQL and REST APIs for Embedded R execution
  This topic explains usage of conda environment by running the user-defined functions (UDFs) in SQL and REST APIs for embedded R execution.
• About Using Third-Party Packages on the Client
  In Oracle Machine Learning for R, if you want to use functions from an open source R package from the Comprehensive R Archive Network (CRAN) or other third-party R packages, then you would generally do so in the context of embedded R execution.