Teradata Package for Python Function Reference on VantageCloud Lake - features - 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.features
- DESCRIPTION:
Get's the features from FeatureGroup.
PARAMETERS:
None
RETURNS:
list
RAISES:
None
EXAMPLES:
>>> from teradataml import DataSource, Entity, Feature, FeatureGroup, load_example_data
>>> load_example_data("dataframe", "sales")
>>> # Let's create DataFrame first.
>>> df = DataFrame("sales")
>>> # 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:Apr", df.Apr)
>>> # Create Entity.
>>> entity = Entity("sales:accounts", df.accounts)
>>> # Create DataSource
>>> data_source = DataSource("sales_source", df)
>>> # Create FeatureGroup.
>>> fg = FeatureGroup('Sales',
... features=[jan_feature, feb_feature, mar_feature, apr_feature],
... entity=entity,
... data_source=data_source)
# Get the features from FeatureGroup
>>> fg.features
[Feature(name=sales:Jan), Feature(name=sales:Fan), Feature(name=sales:Mar), Feature(name=sales:Apr)]
>>>