tfx.orchestration.portable.mlmd.execution_lib.get_artifacts_dict

Returns a map from key to an ordered list of artifacts for the given execution id.

tfx.orchestration.portable.mlmd.execution_lib.get_artifacts_dict(
    metadata_handler: tfx.orchestration.metadata.Metadata,
    execution_id: int,
    event_type: "metadata_store_pb2.Event.Type"
) -> Dict[Text, List[types.Artifact]]

Used in the notebooks

Used in the tutorials
Data validation using TFX Pipeline and TensorFlow Data Validation Model analysis using TFX Pipeline and TensorFlow Model Analysis

The dict is constructed purely from information stored in MLMD for the execution given by execution_id. The "key" is the tag associated with the InputSpec or OutputSpec in the pipeline IR.

Args
metadata_handler	A handler to access MLMD.
execution_id	Id of the execution for which to get artifacts.
event_type	Event type to filter by.

Returns
A dict mapping key to an ordered list of artifacts.

Raises
ValueError	If the events are badly formed and correct ordering of artifacts cannot be determined or if all the artifacts could not be fetched from MLMD.