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

DESCRIPTION:
    Retrieves FeatureCatalog based on the feature store's repo and data domain.
 
PARAMETERS:
    None.
 
RETURNS:
    FeatureCatalog
 
RAISES:
    None.
 
EXAMPLES:
    >>> from teradataml import FeatureStore
    # Create FeatureStore for repo 'vfs_v1'.
    >>> fs = FeatureStore('vfs_v1')
    Repo vfs_v1 does not exist. Run FeatureStore.setup() to create the repo and setup FeatureStore.
    # Setup FeatureStore for this repository.
    >>> fs.setup()
    True
 
    # Load the sales data to Vantage.
    from teradataml import load_example_data
    >>> load_example_data("dataframe", "sales")
    >>> df = DataFrame("sales")
 
    # Create a feature process.
    >>> from teradataml import FeatureProcess
    >>> fp = FeatureProcess(repo="vfs_v1",
    ...                     data_domain='sales',
    ...                     object=df,
    ...                     entity="accounts",
    ...                     features=["Jan", "Feb", "Mar", "Apr"])
    >>> fp.run()
    Process '5747082b-4acb-11f0-a2d7-f020ffe7fe09' started.
    Process '5747082b-4acb-11f0-a2d7-f020ffe7fe09' completed.
 
    # Get FeatureCatalog from FeatureStore.
    >>> fs.get_feature_catalog()
    FeatureCatalog(repo=vfs_v1, data_domain=sales)