def __init__(self, work_dir: str = None):
if work_dir is None:
work_dir = tempfile.mkdtemp(prefix=f"generator-model-{datetime.datetime.today():%d-%m-%Y-%H-%M-%S}")
self.work_dir = work_dir
self.model_map: Dict[OpInfo, TrainableSerializableModel] = {}
self.model_paths: Dict[OpInfo, str] = {}
self.op_info_mapping: Dict[OpInfo, OpInfo] = {}
self.model_definitions = find_known_operators(self)
def __init__(self):
self.edge_type_mapping = {}
self.node_feature_mapping = {}
for idx, etype in enumerate(EdgeTypes.__members__.keys()):
self.edge_type_mapping[etype] = idx
for idx, feature in enumerate({
**NodeDataTypes.__members__,
**NodeRoles.__members__,
**NodeSources.__members__
}.keys()):
self.node_feature_mapping[feature] = idx
self.encoder_definitions = find_known_operators(self)
def __init__(self):
self.known_ops = find_known_operators(self)
self.known_methods = find_known_methods(self)
def __setstate__(self, state):
self.__dict__.update(state)
self.model_map: Dict[OpInfo, TrainableModel] = {}
self.model_paths: Dict[OpInfo, str] = {}
self.model_definitions = find_known_operators(self)
