teradataml.store.feature_store.models.DataDomain.processes

DESCRIPTION:
    Returns the list of FeatureProcess objects which are associated with the data domain.
 
PARAMETERS:
    None
 
RETURNS:
    list of FeatureProcess.
 
RAISES:
    None
 
EXAMPLES:
    # Load data to be used.
    >>> from teradataml import load_example_data, DataFrame
    >>> load_example_data('dataframe', ['sales', 'admissions_train'])
    >>> admission_df = DataFrame("admissions_train")
    >>> df = DataFrame('sales')
 
    # Define repo and data domain.
    >>> repo = 'vfs_test'
    >>> data_domain = 'sales'
 
    # Create a FeatureStore.
    >>> from teradataml import FeatureStore
    >>> fs = FeatureStore(repo=repo, data_domain=data_domain)
    Repo vfs_test does not exist. Run FeatureStore.setup() to create the repo and setup FeatureStore.
    >>> fs.setup()
    True
 
    # Run FeatureProcess to ingest features.
    >>> from teradataml import FeatureProcess
    >>> fp = FeatureProcess(repo=repo,
    ...                     data_domain=data_domain,
    ...                     object=df,
    ...                     entity='accounts',
    ...                     features=['Jan', 'Feb', 'Mar', 'Apr'])
    >>> fp.run()
    Process '4098c3ea-6c8d-11f0-837a-24eb16d15109' started.
    Process '4098c3ea-6c8d-11f0-837a-24eb16d15109' completed.
 
    # Run another FeatureProcess to ingest features into different dataframe.
    >>> fp2 = FeatureProcess(repo=repo,
    ...                      data_domain=data_domain,
    ...                      object=admission_df,
    ...                      entity='id',
    ...                      features=['masters', 'gpa', 'stats', 'admitted'])
    >>> fp2.run()
    Process '5129c4eb-7d9e-21f1-947b-35fb27e26210' started.
    Process '5129c4eb-7d9e-21f1-947b-35fb27e26210' completed.
 
    # Example 1: Get the processes in data domain.
    # Create DataDomain object.
    >>> from teradataml import DataDomain
    >>> dd = DataDomain(repo=repo,
    ...                 data_domain=data_domain)
 
    # List processes.
    >>> dd.processes
    [FeatureProcess(repo=vfs_v1, data_domain=sales, process_id=4098c3ea-6c8d-11f0-837a-24eb16d15109),
     FeatureProcess(repo=vfs_v1, data_domain=sales, process_id=5129c4eb-7d9e-21f1-947b-35fb27e26210)]