metric

superduper.components.metric

`Metric`

Metric(self,
     identifier: str,
     db: dataclasses.InitVar[typing.Optional[ForwardRef('Datalayer')]] = None,
     uuid: None = <factory>,
     *,
     upstream: "t.Optional[t.List['Component']]" = None,
     plugins: "t.Optional[t.List['Plugin']]" = None,
     artifacts: 'dc.InitVar[t.Optional[t.Dict]]' = None,
     cache: 't.Optional[bool]' = True,
     status: 't.Optional[Status]' = None,
     object: Callable) -> None

Parameter	Description
identifier	Identifier of the leaf.
db	Datalayer instance.
uuid	UUID of the leaf.
artifacts	A dictionary of artifacts paths and `DataType` objects
upstream	A list of upstream components
plugins	A list of plugins to be used in the component.
cache	(Optional) If set `true` the component will not be cached during primary job of the component i.e on a distributed cluster this component will be reloaded on every component task e.g model prediction.
status	What part of the lifecycle the component is in.
object	Callable or an Artifact to be applied to the data.

Metric base object used to evaluate performance on a dataset.

These objects are callable and are applied row-wise to the data, and averaged.

Metric​

`Metric`