2.4 About the Python Components and Libraries in OML4Py

OML4Py requires an installation of Python, the specified Python libraries, as well as the OML4Py components.

• In Oracle Autonomous Database, OML4Py is already installed. The OML4Py installation includes Python, additional required Python libraries, and the OML4Py server components. A Python interpreter is included with Oracle Machine Learning Notebooks in Autonomous Database.

• You can install third-party Python libraries in a conda environment through a conda interpreter for use within OML Notebooks sessions and OML4Py embedded execution invocations.
• You can install OML4Py in an on-premises Oracle Database. In this case, you must install Python, the additional required Python libraries, the OML4Py server components, and an OML4Py client. See Install OML4Py for On-Premises Databases.

Python Version in Current Release of OML4Py

The current release of OML4Py is based on Python 3.12.0 .

This version is in the current release of Oracle Autonomous Database.

Required Python Libraries

The following Python libraries must be included.

• python-oracledb 2.0.1
• matplotlib 3.7.2
• numpy 1.26.4
• pandas 2.1.1
• Pillow-8.2.0
• scikit-learn 1.2.1
• scipy 1.12.0

All the above libraries are included with Python in the current release of Oracle Autonomous Database.

For an installation of OML4Py in an on-premises Oracle Database, you must install Python and additionally the libraries listed here. See Install OML4Py for On-Premises Databases.