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

To determine the current version of python used by OML4Py, run the following command:
import sys
sys.version

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

Required Python Libraries

The following Python libraries must be included.

  • oracledb 2.2.0
  • cycler 0.10.0
  • joblib 1.1.0
  • kiwisolver 1.1.0
  • matplotlib 3.8.4
  • numpy 1.26.4
  • pandas 2.1.1
  • Pillow-8.2.0
  • pyparsing 2.4.0
  • python-dateutil 2.8.1
  • pytz 2022.1
  • scikit-learn 1.4.1.post1
  • scipy 1.12.0
  • six 1.13.0
  • threadpoolctl 3.1.0

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.

Parent topic: About Oracle Machine Learning for Python