get_feature_group() | FeatureStore Get Method | Teradata Package for Python - get_feature_group() - Teradata Package for Python

Use the get_feature_group() method to retrieve the feature group.

Required Parameter

name

Specifies the name of the feature group to get.

Example setup

>>> from teradataml import DataFrame, FeatureStore, load_example_data

Example: Retrieve the feature group name

Create DataFrame on sales data.

>>> load_example_data("dataframe", "sales")
>>> 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 FeatureStore for repo 'vfs_v1'.

>>> fs = FeatureStore("vfs_v1")

Repo vfs_v1 does not exist. Run FeatureStore.setup() to create the repo and setup FeatureStore.

Set up FeatureStore for this repository.

>>> fs.setup()

True

Create FeatureGroup with name 'sales' from DataFrame.

>>> fg = FeatureGroup.from_DataFrame(
...    name="sales", df=df, entity_columns="accounts", timestamp_column="datetime")

Apply the FeatureGroup to FeatureStore.

>>> 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))