Glossary term
Glossary term
Infrastructure and Serving
The directory you specify for hosting subdirectories of the TensorFlow checkpoint and events files of multiple models.
Created for this library
An ML engineer organizes a project's root directory with clear subfolders for code, data, configs, and outputs to keep experiments reproducible.
A platform team standardizes the root directory layout for ML projects so new contributors find code, data, and configs quickly.
A research lab adopts a common root directory pattern across projects so tooling can locate datasets and outputs reliably.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License