tvalentyn commented on code in PR #21806:
URL: https://github.com/apache/beam/pull/21806#discussion_r898128282
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sdks/python/apache_beam/ml/inference/sklearn_inference.py:
##########
@@ -74,8 +91,12 @@ def load_model(self) -> BaseEstimator:
return _load_model(self._model_uri, self._model_file_type)
def run_inference(
- self, batch: Sequence[numpy.ndarray], model: BaseEstimator,
- **kwargs) -> Iterable[PredictionResult]:
+ self,
+ batch: Sequence[numpy.ndarray],
+ model: BaseEstimator,
+ inference_args: Optional[Dict[str, Any]] = None
+ ) -> Iterable[PredictionResult]:
+ _validate_inference_args(inference_args)
Review Comment:
(not urgent). This validation will happen at pipeline execution, right? Can
it be done at construction time to reduce the feedback loop?
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