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_regressionto 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:
- Ensure Python 3 is installed locally
- Clone this repository locally
- 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