4.1 About Oracle Machine Learning for Python on Exadata

Exadata is an ideal platform for OML4Py. The parallel resources of Python computations in OML4Py take advantage of the massively parallel grid infrastructure of Exadata.

Note:

The version of OML4Py must be the same on the server and on each client computer. Also, the version of Python must be the same on the server and on each client computer. See table number 3-2 OML4Py On Premises System Requirements for supported configurations.

To install OML4Py on Exadata:

1. On all compute nodes:

   • Install Python

   • Verify and configure the environment

   • Install the OML4Py supporting pacakges

   • Install the OML4Py server components

2. On the first node only:

   • Install the OML4Py Server components including the database configuration.

   • Create an OML4Py user, if desired. Alternatively, configure an existing database user to use OML4Py. See Create New Users for On-Premises Oracle Database.

You can simplify the Python installation on Exadata by using the Distributed Command Line Interface (DCLI).