From 66664be0c35808dbbb0fc57dd169fd8474ae42af Mon Sep 17 00:00:00 2001 From: Jorge Orpinel Date: Fri, 31 Jul 2020 14:20:31 -0500 Subject: [PATCH] Update content/docs/start/data-pipelines.md --- content/docs/start/data-pipelines.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/content/docs/start/data-pipelines.md b/content/docs/start/data-pipelines.md index 33b7d7bf25..3872ea6edf 100644 --- a/content/docs/start/data-pipelines.md +++ b/content/docs/start/data-pipelines.md @@ -300,8 +300,7 @@ important problems: data to use and what commands to run to produce an ML model. Storing these files in Git makes it easy to version and share. - _Continuous Delivery and Continuous Integration (CI/CD) for ML_ - reproducible - ML pipelines allow CI/CD systems to retrain - ([repro](https://dvc.org/doc/command-reference/repro)) models on fresh + ML pipelines allow CI/CD systems to retrain models on fresh datasets with identical preprocessing and training stages, version upstream models and datasets, and easily [compare](https://dvc.org/doc/start/experiments#comparing-experiments) metrics