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)]