yeandy commented on code in PR #21795:
URL: https://github.com/apache/beam/pull/21795#discussion_r894767368
##########
sdks/python/apache_beam/ml/inference/sklearn_inference.py:
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@@ -41,36 +40,20 @@ class ModelFileType(enum.Enum):
JOBLIB = 2
-class SklearnInferenceRunner(InferenceRunner[numpy.ndarray,
- PredictionResult,
- BaseEstimator]):
- def run_inference(
- self, batch: List[numpy.ndarray], model: BaseEstimator,
- **kwargs) -> Iterable[PredictionResult]:
- # vectorize data for better performance
- vectorized_batch = numpy.stack(batch, axis=0)
- predictions = model.predict(vectorized_batch)
- return [PredictionResult(x, y) for x, y in zip(batch, predictions)]
-
- def get_num_bytes(self, batch: List[numpy.ndarray]) -> int:
- """Returns the number of bytes of data for a batch."""
- return sum(sys.getsizeof(element) for element in batch)
-
-
-class SklearnModelLoader(ModelLoader[numpy.ndarray,
- PredictionResult,
- BaseEstimator]):
- """ Implementation of the ModelLoader interface for scikit learn.
+class SklearnModelHandler(ModelHandler[numpy.ndarray,
+ PredictionResult,
+ BaseEstimator]):
+ """ Implementation of the ModelHandler interface for scikit learn.
Review Comment:
nit
```suggestion
""" Implementation of the ModelHandler interface for scikit-learn.
```
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