Teradata Package for Python Function Reference on VantageCloud Lake - __init__ - Teradata Package for Python - Look here for syntax, methods and examples for the functions included in the Teradata Package for Python.

Teradata® Package for Python Function Reference on VantageCloud Lake

Deployment
VantageCloud
Edition
Lake
Product
Teradata Package for Python
Release Number
20.00.00.08
Published
November 2025
ft:locale
en-US
ft:lastEdition
2025-12-05
dita:id
TeradataPython_FxRef_Lake_2000
Product Category
Teradata Vantage
teradataml.store.feature_store.models.DatasetCatalog.__init__ = __init__(self, repo, data_domain=None)
DESCRIPTION:
    Constructor for DatasetCatalog class.
 
PARAMETERS:
    repo:
        Required Argument.
        Specifies the name of the repo to which Dataset Catalog points to.
        Note:
            * If feature store is not setup on repo, then it would error out.
        Types: str.
 
    data_domain:
        Optional Argument.
        Specifies the name of the data domain the feature catalog refers to.
        If not specified, then default database is used as data domain.
        Types: str.
 
RETURNS:
    None
 
RAISES:
    TeradataMlException
 
EXAMPLES:
    >>> from teradataml import FeatureCatalog
    # Create FeatureStore repo 'vfs_v1'.
    >>> from teradataml import FeatureStore
    >>> 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 DatasetCatalog on repo 'vfs_v1'.
    >>> dc = DatasetCatalog(repo='vfs_v1', data_domain='sales')
    >>> dc
    DatasetCatalog(repo=vfs_v1, data_domain=sales)