MLOpsPython/bootstrap

Bootstrap from MLOpsPython repository

To use this existing project structure and scripts for your new ML project, you can quickly get started from the existing repository, bootstrap and create a template that works for your ML project.

Bootstrapping will prepare a directory structure for your project which includes:

• renaming files and folders from the base project name diabetes_regression to your project name
• fixing imports and absolute path based on your project name
• deleting and cleaning up some directories

To bootstrap from the existing MLOpsPython repository:

1. Ensure Python 3 is installed locally
2. Clone this repository locally
3. Run bootstrap.py script
   python bootstrap.py -d [dirpath] -n [projectname]
   • [dirpath] is the absolute path to the root of the directory where MLOpsPython is cloned
   • [projectname] is the name of your ML project