teradataml.store.feature_store.models.FeatureProcess.features

DESCRIPTION:
    Returns the ingested features while running feature process.
 
PARAMETERS:
    None
 
RETURNS:
    list of Feature or list of str
 
RAISES:
    None
 
EXAMPLES:
    >>> from teradataml import DataFrame, load_example_data, FeatureProcess
    >>> load_example_data('dataframe', 'sales')
    >>> df = DataFrame("sales")
 
    >>> fp = FeatureProcess(repo="vfs_test",
    ...                     object=df,
    ...                     entity="accounts",
    ...                     features=["Jan", "Feb", "Mar", "Apr"]
    ...                     )
    >>> fp.features
    ["Jan", "Feb", "Mar", "Apr"]
    >>>