list_feature_runs() | FeatureStore List Method | Teradata Package for Python - list_feature_runs() - Teradata Package for Python

Use the list_feature_runs() method to list all the feature runs in FeatureStore.

There are no parameters for this function.

Example setup

>>> from teradataml import FeatureStore

Example 1: List all the feature runs in the repo 'vfs_v1'

Create a FeatureStore 'vfs_v1' or use existing one.

>>> fs = FeatureStore("vfs_v1")

FeatureStore is ready to use.

Load the sales data.

>>> load_example_data("dataframe", "sales")
>>> df = DataFrame("sales")

Create a feature process.

>>> from teradataml import FeatureProcess
>>> fp = FeatureProcess(repo="vfs_v1",
...                     data_domain='test_domain',
...                     object=df,
...                     entity='accounts',
...                     features=['Mar', 'Apr'])
>>> fp.run(filters=[df.accounts=='Alpha Co', "accounts='Jones LLC'"])

Process '11b62599-692f-11f0-ad19-f020ffe7fe09' started.
Ingesting the features for filter 'accounts = 'Alpha Co'' to catalog.
Ingesting the features for filter 'accounts='Jones LLC'' to catalog.
Process '11b62599-692f-11f0-ad19-f020ffe7fe09' completed.
True

List all the feature runs in the repo 'vfs_v1'.

>>> fs.list_feature_runs()

                                 process_id  data_domain                  start_time                    end_time     status                                       filter as_of_start as_of_end failure_reason
run_id                                                                                          
1       11b62599-692f-11f0-ad19-f020ffe7fe09  test_domain  2025-07-25 08:12:13.001968  2025-07-25 08:12:13.001968  completed  accounts = 'Alpha Co', accounts='Jones LLC'        None      None           None