Why is it important for TFX to keep execution records for every component each time it is run?
Sunday, 06 August 2023
by EITCA Academy
It is crucial for TFX (TensorFlow Extended) to maintain execution records for every component each time it is run due to several reasons. These records, also known as metadata, serve as a valuable source of information for various purposes, including debugging, reproducibility, auditing, and model performance analysis. By capturing and storing detailed information about the
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, TensorFlow Extended (TFX), Metadata, Examination review
Tagged under:
Artificial Intelligence, Execution Records, Machine Learning Pipeline, Metadata, TensorFlow Extended, TFX