Published March 5, 2018
| Version v1
Publication
Applying DevOps to Machine Learning: ROCKFlows, a Story from the Trenches
Description
The Machine Learning (ML) community is currently blooming with hundreds of new algorithms to implement tasks such as data classification for example. To support data scientists and engineers who have to chose among all these algorithms, we are defining the ROCKFlows platform to automatically create a software product line of workflows integrating such algorithms. This paper describes the approach that support this approach in a devops way.
Abstract
First international workshop on software engineering aspects of continuous development and new paradigms of software production and deploymentAdditional details
Identifiers
- URL
- https://hal.archives-ouvertes.fr/hal-01792775
- URN
- urn:oai:HAL:hal-01792775v1
Origin repository
- Origin repository
- UNICA