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'])