Teradata Package for Python Function Reference on VantageCloud Lake - get_persisted_tables - Teradata Package for Python - Look here for syntax, methods and examples for the functions included in the Teradata Package for Python.
Teradata® Package for Python Function Reference on VantageCloud Lake
- Deployment
- VantageCloud
- Edition
- Lake
- Product
- Teradata Package for Python
- Release Number
- 20.00.00.08
- Published
- November 2025
- ft:locale
- en-US
- ft:lastEdition
- 2025-12-05
- dita:id
- TeradataPython_FxRef_Lake_2000
- Product Category
- Teradata Vantage
- teradataml.automl.AutoML.get_persisted_tables = get_persisted_tables(self)
- DESCRIPTION:
Get the list of the tables that are persisted in the database.
Note:
* User is responsible for keeping track of the persistent tables
and cleanup of the same if required.
PARAMETERS:
None
RETURNS:
Dictionary, containing the list of table names that mapped to the stage
at which it was generated.
RAISES:
TeradataMlException.
EXAMPLES:
# Create an instance of the AutoML called "obj" by referring
# "AutoML()" or "AutoRegressor()" or "AutoClassifier()" or
# "AutoFraud()" or "AutoChurn()" or "AutoCluster()" method.
# 'persist' argument must be set to True in the AutoML object.
>>> obj = AutoML(verbose=2, max_models=10, persist=True)
# Load and fit the data.
>>> load_example_data("teradataml", "titanic")
>>> titanic_data = DataFrame("titanic")
>>> obj.fit(data = titanic_data, target_column = titanic.survived)
# Get the list of tables that are persisted in the database.
>>> obj.get_persisted_tables()