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

DESCRIPTION:
    Lists all the FilterManagers registered in the repository.
 
PARAMETERS:
    None
 
RETURNS:
    teradataml DataFrame
 
RAISES:
    None
 
EXAMPLES:
    >>> load_example_data('dataframe', 'admissions_train')
    >>> df = DataFrame("admissions_train")
 
    # Create a FeatureStore.
    >>> from teradataml import FeatureStore, FilterManager
    >>> fs = FeatureStore(repo='vfs_v1', data_domain='sales')
    Repo vfs_v1 does not exist. Run FeatureStore.setup() to create the repo and setup FeatureStore.
    >>> fs.setup()
 
    # Create an instance of FilterManager with name 'stats_filter_manager' 
    # for managing filters related to statistics features.
    >>> fm = fs.get_filter_manager(name='stats_filter_manager')
    >>> fm
    Filter Manager 'stats_filter_manager' does not exist. Run FilterManager.load_filter() to create it.
    FilterManager(repo=vfs_v1, name=stats_filter_manager, filters=None)
 
    # Load filter definitions into the filter manager using a DataFrame.
    >>> fm.load_filter(df=df.groupby('stats').count()[['stats']])
    True
    
    # List all the filter managers in the repository.
    >>> fs.list_filter_managers()
                                         table_name  num_filters filter_id_column filter_columns                created_time               modified_time
    name                                                                                                                                                
    region_filter                region_filter_tdfm            5       filter_ids         region  2026-05-11 12:44:18.902613  2026-05-11 12:44:18.902613
    stats_filter_manager  stats_filter_manager_tdfm            3        filter_id          stats  2026-05-11 13:15:09.520207                        None