Output Repository

About #

In HPE Machine Learning Data Management, an output repo is a repository where the results of a pipeline’s processing are stored after being transformed by the provided user code. Every pipeline automatically creates an output repository with the same name as the pipeline.

When a pipeline runs, it creates a new commit in the output repository with the results of the processing. The commit contains a set of files that represent the output of the pipeline. Each commit in the output repository corresponds to a job that was run to generate that output.

An output repository can be created or deleted using a pachctl CLI command or the HPE Machine Learning Data Management API.