teradataml.store.feature_store.feature_store.FeatureStore.list_feature_runs = list_feature_runs(self)

DESCRIPTION:
    Lists all the feature runs in the FeatureStore.
 
PARAMETERS:
    None
 
RETURNS:
    teradataml DataFrame
 
RAISES:
    None
 
EXAMPLES:
    # Example 1: List all the feature runs in the repo 'vfs_v1'.
    >>> from teradataml import FeatureStore
    
    # 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