features | FeatureCatalog Property | Teradata Package for Python - features - Teradata Package for Python

Use the features property to get the list of feature objects available in the feature catalog for the corresponding data domain.

Example setup

>>> from teradataml import FeatureCatalog, load_example_data, DataFrame
>>> load_example_data('dataframe', ['sales'])
>>> df = DataFrame("sales")

Run FeatureProcess to ingest features.

>>> from teradataml import FeatureProcess
>>> fp = FeatureProcess(repo='repo',
...                     data_domain='sales',
...                     object=df,
...                     entity='accounts',
...                     features=['Jan', 'Feb', 'Mar', 'Apr'])
>>> fp.run()

Process '893d3326-36ab-11f0-2370-f020ff57c63d' started.
Process '893d3326-36ab-11f0-2370-f020ff57c63d' completed.

Example: Get the features from the feature catalog

Create a FeatureCatalog object.

>>> fc = FeatureCatalog('repo', data_domain='sales')

>>> fc.features

[Feature(name=Jan), Feature(name=Feb), Feature(name=Mar), Feature(name=Apr)]