Teradata Package for Python Function Reference | 20.00 - delete_entity - 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 - 20.00

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00.00.03
Published
December 2024
ft:locale
en-US
ft:lastEdition
2024-12-19
dita:id
TeradataPython_FxRef_Enterprise_2000
lifecycle
latest
Product Category
Teradata Vantage
teradataml.store.feature_store.feature_store.FeatureStore.delete_entity = delete_entity(self, entity)
DESCRIPTION:
    Removes archived Entity from repository.
 
PARAMETERS:
    entity:
        Required Argument.
        Specifies either the name of Entity or Object of Entity
        to delete from repository.
        Types: str OR Entity
 
RETURNS:
    bool.
 
RAISES:
    TeradataMLException, TypeError, ValueError
 
EXAMPLES:
    >>> from teradataml import DataFrame, Entity, FeatureStore
    >>> load_example_data('dataframe', ['sales'])
    # Create teradataml DataFrame.
    >>> df = DataFrame("sales")
    # Create Entity using teradataml DataFrame Column.
    >>> entity = Entity(name="sales_data", columns=df.accounts)
    # Create FeatureStore for repo 'staging_repo'.
    >>> fs = FeatureStore("staging_repo")
    # Apply the entity to FeatureStore.
    >>> fs.apply(entity)
    True
    # Let's first archive the entity.
    >>> fs.archive_entity(entity=entity.name)
    Entity 'sales_data' is archived.
    True
 
    # Delete Entity with name "sales_data".
    >>> fs.delete_entity(entity=entity.name)
    Entity 'sales_data' is deleted.
    True
    >>>