Teradata Package for Python Function Reference | 20.00 - delete_feature - 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_feature = delete_feature(self, feature)
DESCRIPTION:
    Removes the archived Feature from repository.
 
PARAMETERS:
    feature:
        Required Argument.
        Specifies either the name of Feature or Object of Feature
        to remove from repository.
        Types: str OR Feature
 
RETURNS:
    bool.
 
RAISES:
    TeradataMLException, TypeError, ValueError
 
EXAMPLES:
    >>> from teradataml import DataFrame, Feature, FeatureStore
    >>> load_example_data('dataframe', ['sales'])
    # Create teradataml DataFrame.
    >>> df = DataFrame("sales")
    # Create Feature for Column 'Feb'.
    >>> feature = Feature(name="sales_data_Feb", column=df.Feb)
    # Create a feature store with name "staging_repo".
    >>> fs = FeatureStore("staging_repo")
    # Add the feature created above in the feature store.
    >>> fs.apply(feature)
    True
    # Let's first archive the Feature.
    >>> fs.archive_feature(feature=feature)
    Feature 'sales_data_Feb' is archived.
    True
 
    # Delete Feature with name "sales_data_Feb".
    >>> fs.delete_feature(feature=feature)
    Feature 'sales_data_Feb' is deleted.
    True
    >>>