Teradata Package for Python Function Reference on VantageCloud Lake - get_feature_group - 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.feature_store.FeatureStore.get_feature_group = get_feature_group(self, name)
- DESCRIPTION:
Retrieve the FeatureGroup using name.
PARAMETERS:
name:
Required Argument.
Specifies the name of the feature group to be retrieved.
Types: str
RETURNS:
Object of FeatureGroup
RAISES:
TeradataMLException
EXAMPLES:
>>> from teradataml import DataFrame, FeatureStore, load_example_data
# Load the sales data to Vantage.
>>> load_example_data("dataframe", "sales")
# Create DataFrame on sales data.
>>> df = DataFrame("sales")
>>> df
Feb Jan Mar Apr datetime
accounts
Orange Inc 210.0 NaN NaN 250.0 04/01/2017
Jones LLC 200.0 150.0 140.0 180.0 04/01/2017
Blue Inc 90.0 50.0 95.0 101.0 04/01/2017
Alpha Co 210.0 200.0 215.0 250.0 04/01/2017
Yellow Inc 90.0 NaN NaN NaN 04/01/2017
>>>
# Create FeatureGroup with name 'sales' from DataFrame.
>>> fg = FeatureGroup.from_DataFrame(
... name="sales", df=df, entity_columns="accounts", timestamp_col_name="datetime")
# Apply the FeatureGroup to FeatureStore.
>>> fs = FeatureStore("vfs_v1")
>>> fs.apply(fg)
True
# Get FeatureGroup with group name 'sales' from repo 'vfs_v1'.
>>> fg = fs.get_feature_group('sales')
>>> fg
FeatureGroup(sales, features=[Feature(name=Jan), Feature(name=Feb), Feature(name=Apr), Feature(name=Mar)], entity=Entity(name=sales), data_source=DataSource(name=sales))
>>>