tfma.model_util.get_callable

Returns callable associated with given signature or None if not callable.

tfma.model_util.get_callable(
    model: Any,
    signature_name: Optional[Text] = None,
    required: bool = True
) -> Optional[Callable[..., Any]]

The available callables are defined by the model.signatures attribute which are defined at the time the model is saved. For keras based models, the model itself can also be used as can a callable attribute on the model named after the signature_name.

Args
`model`	A model that is callable or contains a `signatures` attribute. If neither of these conditions are met, then None will be returned.
`signature_name`	Optional name of signature to use. If not provided then either the default serving signature will be used (if model is not callable) or the model itself will be used (if the model is callable). If provided then model.signatures will be used regardless of whether the model is callable or not.
`required`	True if signature_name is required to exist if provided.

Returns
Callable associated with given signature (or the model itself) or None if no callable could be found.

Raises
`ValueError`	If signature_name not found in model.signatures.

tfma.model_util.get_callable

Args

Returns

Raises