Teradata Package for Python Function Reference on VantageCloud Lake - entities - 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.store.feature_store.models.FeatureCatalog.entities
DESCRIPTION:
    Returns the list of Entity objects available in Feature Catalog for corresponding data domain.
 
PARAMETERS:
    None
 
RETURNS:
    List of Entity.
 
RAISES:
    None
 
EXAMPLES:
    >>> from teradataml import FeatureCatalog, load_example_data, DataFrame
    >>> load_example_data('dataframe', ['sales'])
    >>> df = DataFrame("sales")
 
    # Run FeatureProcess to ingest features.
    >>> from teradataml import FeatureProcess
    >>> fp = FeatureProcess(repo='repo',
    ...                     data_domain='sales',
    ...                     object=df,
    ...                     entity='accounts',
    ...                     features=['Jan', 'Feb', 'Mar', 'Apr'])
    >>> fp.run()
    Process '893d3326-36ab-11f0-2370-f020ff57c63d' started.
    Process '893d3326-36ab-11f0-2370-f020ff57c63d' completed.
 
    # Example 1: Get the entities from Feature Catalog.
    # Create FeatureCatalog object.
    >>> fc = FeatureCatalog('repo', data_domain='sales')
    >>> fc.entities
    [Entity(name=accounts)]