teradataml.store.feature_store.models.FeatureGroup.__repr__ = __repr__(self)

DESCRIPTION:
    String representation for FeatureGroup object.
 
PARAMETERS:
    None
 
RETURNS:
    str
 
RAISES:
    None
 
EXAMPLES:
    >>> from teradataml import DataSource, Entity, Feature, FeatureGroup, load_example_data
    >>> load_example_data("dataframe", "sales")
    # Let's create DataFrame first.
    >>> df = DataFrame("sales")
 
    # create the features.
    >>> jan_feature = Feature("sales:Jan", df.Jan)
    >>> feb_feature = Feature("sales:Fan", df.Feb)
    >>> mar_feature = Feature("sales:Mar", df.Mar)
 
    # Create Entity.
    >>> entity = Entity("sales:accounts", df.accounts)
 
    # Create DataSource.
    >>> data_source = DataSource("sales_source", df.show_query())
 
    # Create FeatureGroup.
    >>> fg = FeatureGroup("sales_data_fg", features=[jan_feature, feb_feature, mar_feature],
    ...                   entity=entity, data_source=data_source)
 
    # Get the string representation of FeatureGroup.
    >>> fg
    FeatureGroup(sales_data_fg, features=[Feature(name=sales:Jan), Feature(name=sales:Feb), Feature(name=sales:Mar)], entity=Entity(name=sales:accounts), data_source=DataSource(Sales_Data))