wallaroo.model_config

class ModelConfig(wallaroo.object.Object):

Wraps a backend ModelConfig object.

ModelConfig( client: Optional[wallaroo.client.Client], data: Dict[str, Any], standalone=False)

Base constructor.

Each object requires:

  • a GraphQL client - in order to fill its missing members dynamically
  • an initial data blob - typically from unserialized JSON, contains at
  • least the data for required members (typically the object's primary key) and optionally other data members.
@staticmethod
def as_standalone( model: wallaroo.model.Model, filter_threshold: Optional[float] = None, runtime: Optional[str] = None, tensor_fields: Optional[List[str]] = None) -> wallaroo.model_config.ModelConfig:

Creates a ModelConfig intended for use in generating standalone configurations

inputs
outputs
def to_yaml(self):

Generates a yaml file for standalone engines

def to_k8s_yaml(self):
def id(self) -> int:
def filter_threshold(*args, **kwargs):
def model(*args, **kwargs):
def runtime(*args, **kwargs):
def tensor_fields(*args, **kwargs):