From fd906cd80865a628c743dbd1455fb226c9d7ef0c Mon Sep 17 00:00:00 2001 From: dberenbaum Date: Thu, 16 Jun 2022 14:33:08 -0400 Subject: [PATCH] readme: consolidate intro --- README.rst | 30 ++++++++---------------------- 1 file changed, 8 insertions(+), 22 deletions(-) diff --git a/README.rst b/README.rst index 139c589498..ee63795af2 100644 --- a/README.rst +++ b/README.rst @@ -18,33 +18,19 @@ **Data Version Control** or **DVC** helps you develop reproducible machine learning projects: -#. Version your data and models. +#. **Version** your data and models. Store them in your cloud storage but keep + their version info in your Git repo. -#. Connect them to your code and parameters to form a pipeline. +#. **Iterate** fast with lightweight pipelines. When you make changes, only run + the steps impacted by those changes. -#. Modify data, code, or parameters and run your modified pipeline. +#. **Track** experiments in your local Git repo (no servers needed). -#. Iterate and track each experiment from the command line or `VS Code +#. **Compare** any data, code, parameters, metrics, or plots from the command + line or in `VS Code `_. -#. Share, compare, and reconstruct experiments. - -**Why DVC?** - -#. **Store** data and models (big) in your cloud storage, but keep their version - info (small) in your Git repo. - -#. **Iterate** fast with straightforward YAML pipelines. When you make changes, - only run the steps impacted by those changes. - -#. **Track** experiments in your local Git repo (no servers needed) and `VS Code - `_. - Choose which to keep and share. - -#. **Compare** any data, code, parameters, metrics, or plots and analyze however - you want. - -#. **Reconstruct** anyone's experiment with a single command. +#. **Share** experiments and automatically reproduce anyone's experiment. .. contents:: **Contents** :backlinks: none