2 Install Third-Party Packages

Oracle Machine Learning Notebooks in the Autonomous Database provides a conda interpreter to install third-party Python libraries in a conda environment for use within OML Notebooks sessions and OML4Py embedded execution invocations. Conda is an open-source package and environment management system that enables the use of environments containing third-party Python 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 OML4Py Python, SQL, and REST APIs.

Note:

• None of the OML features that come with ADB require the customer to install any additional third-party software via the conda feature.
• When installing third-party software using the conda feature, vulnerability management and license compliance of that software is the sole responsibility of the customer who installed it, not Oracle.

Topics:

• Conda Commands
  This topic contains common commands used by ADMIN while creating and testing conda environments in Autonomous Databases. Conda is an open-source package and environment management system that enables the use of environments containing third-party Python 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 an Available Conda Environment
  Once user ADMIN installs the environment in Object Storage in the Autonomous Database, as an OML user, you can download, activate, and use it in Python paragraphs in notebooks and with embedded execution.
• Using Conda Environments with Embedded Python Execution
  This topic explains the usage of conda environments by running user-defined functions (UDFs) in SQL and REST APIs for embedded Python execution.