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@abin-thomas-by abin-thomas-by commented Jul 2, 2022

RFC: Modify BulkInferrer TFX component

Status Proposed
RFC # 417
Author(s) Abin Thomas ([email protected]), Iain Stitt ([email protected])
Sponsor Robert Crowe ([email protected])
Updated 2020-06-20

Objective

Modify BulkInferrer TFX component.

Changes :-

  • Store only a subset of features in output_examples artifact.
  • Support inference on multiple models.

Motivation

A BulkInferrer TFX component is used to perform batch inference on unlabeled tf.Examples.
The generated output examples contains the original features and the prediction results.
Keeping all original features in the output is troubling when dealing with feature heavy models.
For most of the use cases we only require example identifiers and the predictions in the output.

In machine learning, it is a common practice to train multiple models using the same feature set to perform different tasks (sometimes same tasks).
It will be convenient to have a multimodel inference feature in bulk-inferrer. The component should take a list of models and produce predictions for all models.

@theadactyl theadactyl changed the title RFC to Modify BulkInferrer TFX component. RFC: Modify BulkInferrer TFX component Jul 13, 2022
@ematejska ematejska merged commit 8832c50 into tensorflow:master Jul 22, 2022
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3 participants