Example 6: Ingest feature values for a specific time using feature group as source - Teradata Package for Python

Example setup

>>> load_example_data('dataframe', ['sales'])
>>> df = DataFrame("sales")

Create a feature store.

>>> from teradataml import FeatureStore
>>> fs = FeatureStore("vfs_test", data_domain='sales')

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

>>> fs.setup()

True

Create the FeatureGroup from DataFrame

>>> fg = FeatureGroup.from_DataFrame(name="sales_temporal",
...                                  entity_columns="accounts",
...                                  df=df)

>>> fp = FeatureProcess(repo="vfs_test",
...                     data_domain='sales',
...                     object=fg)

Ingest the features as of January 1, 2024

>>> fp.run(as_of='2024-01-01 00:00:00+00:00')

Process '6e5a8da0-738f-11f0-99c5-a30631e77953' started.
Process '6e5a8da0-738f-11f0-99c5-a30631e77953' completed.
True