.
├── data  # training data
│   └── iris.csv
├── experiments  # here you can keep the training workflows and notebooks
│   └── train.py
├── models  # a place for your trained model dumps
│   └── svm.joblib
├── service  # api service directory
│   ├── api.py  # the main script for our model server
|   └── utils.py  # utility functions, e.g. a logging helper
├── .dockerignore  # list of files that aren't needed inside the docker container
├── conda-env.yml  # conda environment configuration
├── Dockerfile  # docker image configuration
├── dev.compose.yml  # docker-compose configuration for a DEVELOPMENT deployment
└── prod.compose.yml  # docker-compose configuration for a PRODUCTION deployment