When Client is Connected to VantageCloud Lake | teradataml OpenSourceML - When Client is Connected to VantageCloud Lake - Teradata Package for Python

Teradata® Package for Python User Guide

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00
Published
March 2024
Language
English (United States)
Last Update
2024-04-09
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Product Category
Teradata Vantage
Prerequisites to run teradataml open-source machine learning functions when your local machine is connected to VantageCloud Lake:
  • Execution of the teradataml open-source machine learning functions depends on APPLY table operator.
  • You can set up a user environment with required packages using teradataml Open Analytics APIs. Once the user environment is created, you can set the following to make sure teradataml open-source machine learning functions could use the environment.
    from teradataml import configure
    confiure.openml_user_env = <Object of UserEnv class>
  • If no configuration option is provided by the user, teradataml open-source machine learning functions use the default openml_env user environment.

    This default environment has latest Python and scikit-learn versions that are supported by Open Analytics Framework at the time of creating environment.

  • Version of the Python package installed must be same on both local system and Lake user environment.