|View source on GitHub|
Returns true if batched input should be used.
tfma.is_batched_input( eval_shared_model: Optional[
tfma.types.EvalSharedModel] = None, eval_config: Optional[
tfma.EvalConfig] = None, config_version: Optional[int] = None ) -> bool
We will keep supporting the legacy unbatched V1 PredictExtractor as it parses the features and labels, and is the only solution currently that allows for slicing on transformed features. Eventually we should have support for transformed features via keras preprocessing layers.
|A boolean indicating if batched extractors should be used.|