Teradata Package for Python Function Reference on VantageCloud Lake - reset_labels - 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.reset_labels = reset_labels(self)
- DESCRIPTION:
Resets the labels for FeatureGroup.
PARAMETERS:
None
RETURNS:
bool
RAISES:
None
EXAMPLES:
>>> from teradataml import DataSource, Entity, Feature, FeatureGroup, load_example_data
>>> load_example_data("dataframe", "admissions_train")
>>> # Let's create DataFrame first.
>>> df = DataFrame("admissions_train")
>>> # create the features.
>>> masters_feature = Feature("masters", df.masters)
>>> gpa_feature = Feature("gpa", df.gpa)
>>> stats_feature = Feature("stats", df.stats)
>>> admitted_feature = Feature("admitted", df.admitted)
>>> # Create Entity.
>>> entity = Entity("id", df.id)
>>> # Create DataSource
>>> data_source = DataSource("admissions_source", df)
>>> # Create FeatureGroup.
>>> fg = FeatureGroup('Admissions',
... features=[masters_feature, gpa_feature, stats_feature, admitted_feature],
... entity=entity,
... data_source=data_source)
>>> # Set feature 'admitted' as label.
>>> fg.set_labels('admitted')
True
>>> # Remove the labels from FeatureGroup.
>>> fg.reset_labels()
True
>>>