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.feature_store.FeatureStore.__init__ = __init__(self, repo, data_domain=None, check=True)
- DESCRIPTION:
Method to create FeatureStore in teradataml.
Note:
* One should establish a connection to Vantage using create_context()
before creating a FeatureStore object.
PARAMETERS:
repo:
Required Argument.
Specifies the repository name.
Types: str.
data_domain:
Optional Argument.
Specifies the data domain to which FeatureStore points to.
Note:
* If not specified, then default database name is considered as data domain.
Types: str
check:
Optional Argument.
Specifies whether to check the existence of the Feature store DB objects or not.
When set to True, the method checks for the existence of Feature store DB objects.
Otherwise, the method does not verify the existence of Feature store DB objects.
Default Value: True
Types: bool
RETURNS:
Object of FeatureStore.
RAISES:
None
EXAMPLES:
# Example 1: Create an instance of FeatureStore for repository 'vfs_v1'.
>>> from teradataml import FeatureStore
>>> fs = FeatureStore(repo='vfs_v1')
Repo vfs_v1 does not exist. Run FeatureStore.setup() to create the repo and setup FeatureStore.
>>> fs.setup()
True
>>> fs
VantageFeatureStore(abc)-v2.0.0