The BulkInferrer TFX Pipeline Component

The BulkInferrer TFX component performs batch inference on unlabeled data. The generated InferenceResult(tensorflow_serving.apis.prediction_log_pb2.PredictionLog) contains the original features and the prediction results.

BulkInferrer consumes:

BulkInferrer emits:

Using the BulkInferrer Component

A BulkInferrer TFX component is used to perform batch inference on unlabeled tf.Examples. It is typically deployed after an Evaluator component to perform inference with a validated model, or after a Trainer component to directly perform inference on exported model.

It currently performs in-memory model inference and remote inference. Remote inference requires the model to be hosted on Cloud AI Platform.

Typical code looks like this:

from tfx import components


bulk_inferrer = components.BulkInferrer(

More details are available in the BulkInferrer API reference.