Teradata Package for Python Function Reference on VantageCloud Lake - remove - 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
- 20.00.00.03
- Published
- December 2024
- ft:locale
- en-US
- ft:lastEdition
- 2024-12-19
- dita:id
- TeradataPython_FxRef_Lake_2000
- Product Category
- Teradata Vantage
- teradataml.store.feature_store.models.FeatureGroup.remove = remove(self, object)
- DESCRIPTION:
Method to remove the objects from FeatureGroup. One can use this
method to detach either Feature or DataSource or Entity from
FeatureGroup. Much useful to remove existing Features from
FeatureGroup.
PARAMETERS:
object:
Required Argument.
Specifies the object to be removed from FeatureGroup.
Types: Feature OR Entity OR DataSource OR FeatureGroup.
RETURNS:
bool.
RAISES:
TeradataMlException
EXAMPLES:
>>> load_example_data('dataframe', ['sales'])
>>> df = DataFrame("sales")
>>> # First create the features.
>>> jan_feature = Feature("sales:Jan", df.Jan)
>>> feb_feature = Feature("sales:Fan", df.Feb)
>>> mar_feature = Feature("sales:Mar", df.Mar)
>>> apr_feature = Feature("sales:Jan", df.Apr)
>>> # Create Entity.
>>> entity = Entity("sales:accounts", df.accounts)
>>> # Create DataSource
>>> data_source = DataSource("sales_source", df.show_query())
>>> # Create FeatureGroup.
>>> fg = FeatureGroup('Sales',
... features=[jan_feature, feb_feature, mar_feature],
... entity=entity,
... data_source=data_source)
# Example: Remove the Feature with name "sales:Feb" from FeatureGroup.
>>> fg.remove(feb_feature)
True
>>>