From 2802fa2fe30e1abeb6aca9924de581cfd1c7e422 Mon Sep 17 00:00:00 2001 From: nkrish1983 <57737869+nkrish1983@users.noreply.github.com> Date: Thu, 14 Nov 2019 10:35:35 +0530 Subject: [PATCH] WtD fixit: Readability improvements for Overview of Kubeflow Fairing (#1369) Fixes https://www.kubeflow.org/docs/fairing/fairing-overview/ --- content/docs/fairing/fairing-overview.md | 13 ++++--------- 1 file changed, 4 insertions(+), 9 deletions(-) diff --git a/content/docs/fairing/fairing-overview.md b/content/docs/fairing/fairing-overview.md index 0329b83c56..e0ebed1381 100644 --- a/content/docs/fairing/fairing-overview.md +++ b/content/docs/fairing/fairing-overview.md @@ -37,14 +37,9 @@ Fairing to deploy your trained model as a prediction endpoint on Kubeflow. The following are the goals of the [Kubeflow Fairing project][fairing-repo]: -* Easily package ML training jobs: Enable ML practitioners to easily package - their ML model training code, and their code's dependencies, as a Docker - image. -* Easily train ML models in a hybrid cloud environment: Provide a high-level - API for training ML models to make it easy to run training jobs in the - cloud, without needing to understand the underlying infrastructure. -* Streamline the process of deploying a trained model: Make it easy for ML - practitioners to deploy trained ML models to a hybrid cloud environment. +* **Easily package ML training jobs:** Enable ML practitioners to easily package their ML model training code, and their code's dependencies, as a Docker image. +* **Easily train ML models in a hybrid cloud environment:** Provide a high-level API for training ML models to make it easy to run training jobs in the cloud, without needing to understand the underlying infrastructure. +* **Streamline the process of deploying a trained model:** Make it easy for ML practitioners to deploy trained ML models to a hybrid cloud environment. ## Next steps @@ -58,4 +53,4 @@ The following are the goals of the [Kubeflow Fairing project][fairing-repo]: [conf]: /docs/fairing/configure-fairing/ [install]: /docs/fairing/install-fairing/ -[tutorials]: /docs/fairing/tutorials/other-tutorials/ \ No newline at end of file +[tutorials]: /docs/fairing/tutorials/other-tutorials/