Given the following scenario: You have a trained version of the Document Understanding Model with 1000 pages called v22.10.0.1. You have an evaluation dataset of 100 pages that gave a score of 0.72 for v22.10.0.1. The business team labeled 800 pages and they ask for an increment of the Model that would contain all 1000+800 pages.
What is the first recommended pipeline run configuration to create the new version?
-
A. Run a Pipeline on the Package with the following settings:
Pipeline type: Full -
Package Major Version: 22.10.0 -
Package Minor Version: 1 -
Input Dataset: 800 pages -
Evaluation Dataset: 100 pages -
B. Run a Pipeline on the Package with the following settings:
Pipeline type: Training -
Package Major Version: 22.10.0 -
Package Minor Version: 1 -
Input Dataset: 1000+800 pages -
Evaluation Dataset: N/A -
C. Run a Pipeline on the Package with the following settings:
Pipeline type: Full -
Package Major Version: 22.10.0 -
Package Minor Version: 0 -
Input Dataset: 1000+800 pages -
Evaluation Dataset: 100 pages -
D. Run a Pipeline on the Package with the following settings:
Pipeline type: Evaluate -
Package Major Version: 22.10.0 -
Package Minor Version: 0 -
Input Dataset: 1000+800 pages -
Evaluation Dataset: 100 pages