4.6 Install OML4Py Client for Windows for On-Premises and Autonomous Oracle AI Database

Install OML4Py client 2.1 components required for using OML4Py Client on Windows.

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 Database and System Requirements for OML4Py for supported configurations.

Feature Limitation

While OML4Py 2.1 Windows Client supports Windows OS, many Python API's and in-database algorithms, there are some limitations to consider:

Type	Description
Supported Windows OS	Windows Server 2022 x64 - Standard Windows 11 x64 - Pro
Features not available on Windows platform	ONNX model conversion utility oml.onnx and oml.xgb in-database algorithms.
Feature limit on Windows platform	oml.automl function runs sequentially

Topics

• Install Python for Windows
  Steps to install Python on Windows.
• Install Oracle Instant Client
  Install Oracle Instant Client for Windows client.
• Install the Required Supporting Packages
  Install the required supporting packages for installing OML4Py on Windows.
• Install OML4Py Client Package
  Instructions for installing OML4Py Client for Windows.
• Configure Oracle Wallet for Secure Connection to Autonomous AI Database
  Oracle Wallet is a secure software container used to store authentication credentials, such as SSL certificates and private keys, needed to connect securely to Oracle Autonomous AI Database. Proper wallet configuration enables applications, such as those using Oracle Machine Learning for Python (OML4Py), to connect to Autonomous AI Database instances with strong data encryption and authentication.
• Verify the Installation of Windows Client
  Once OML4Py is installed, you can connect your Python session to the OML4Py server. This connection enables your Python environment to access data stored in your Oracle AI Database or Autonomous AI Database schema, while also leveraging the database server's processing power, memory, and storage through the OML4Py interface.