def from_dictionary(cls, arguments, entityset, dependencies, primitive): base_features = [dependencies[name] for name in arguments["base_features"]] relationship_path = [ Relationship.from_dictionary(r, entityset) for r in arguments["relationship_path"] ] parent_dataframe_name = relationship_path[0].parent_dataframe.ww.name relationship_path = RelationshipPath([(False, r) for r in relationship_path]) use_previous_data = arguments["use_previous"] use_previous = use_previous_data and Timedelta.from_dictionary( use_previous_data ) where_name = arguments["where"] where = where_name and dependencies[where_name] feat = cls( base_features=base_features, parent_dataframe_name=parent_dataframe_name, primitive=primitive, relationship_path=relationship_path, use_previous=use_previous, where=where, name=arguments["name"], ) feat._names = arguments.get("feature_names") return feat
def from_dictionary(cls, arguments, entityset, dependencies, primitives_deserializer): base_features = [ dependencies[name] for name in arguments['base_features'] ] relationship_path = [ Relationship.from_dictionary(r, entityset) for r in arguments['relationship_path'] ] parent_dataframe_name = relationship_path[0].parent_dataframe.ww.name relationship_path = RelationshipPath([(False, r) for r in relationship_path]) primitive = primitives_deserializer.deserialize_primitive( arguments['primitive']) use_previous_data = arguments['use_previous'] use_previous = use_previous_data and Timedelta.from_dictionary( use_previous_data) where_name = arguments['where'] where = where_name and dependencies[where_name] return cls(base_features=base_features, parent_dataframe_name=parent_dataframe_name, primitive=primitive, relationship_path=relationship_path, use_previous=use_previous, where=where, name=arguments['name'])