otto-ml 0.1.11

Otto is a simple Boilerplate for Machine Learning projects integrated with MLflow tools

OTTO

Otto is a simple Boilerplate for Machine Learning projects integrated with MLflow that creates a basic directory structure to organize your code and data. Otto is strongly based on Cookiecutter, if you need something more complete is a good desition to visit his repo.

├── MLproject
├── README.md
├── Dockerfile
├── .env
├── .gitignore
├── data
│   ├── processed/
│   └── raw/
├── notebooks/
├── src/
│   ├── data/
│   │   └── __init__.py
│   │   └── data_preparation.py
│   ├── features/
│   │   └── __init__.py
│   ├── models/
│   │   └── __init__.py
│   │   └── model.py
│   └── __init__.py
└── tests/

Usage

Simple install otto using pip as follows

pip install otto-ml

and use otto

otto --name new-project

or simple use it with out params and let otto guides you 😉

otto

and that's it! 😝

...someone says "ok, but how is supposedly I will use this structure in practice?" go to the Wiki to find out.