Abstract
A distributed versioning control system to manage machine learning entities
and their relationships, and to provide strong end-to-end guarantees on integrity of data
and metadata of these entities, stores metadata using merkle trees and employs a hash
scheme based within a flat namespace in the data store.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.
Recommended Citation
INC, HP, "DATA INTEGRITY FOR VERSION CONTROL SYSTEM OF MACHINE LEARNING ENTITIES", Technical Disclosure Commons, (March 26, 2021)
https://www.tdcommons.org/dpubs_series/4187
COinS