/template-ds-project

a template for Data Science projects

Primary LanguageHTML

Project Title

What is the purpose of this project? Python version : python -V Linting : ?

Sample Data

First Header Second Header
Content Cell Content Cell
Content Cell Content Cell

File Structure

├── README.md          <- The top-level README for developers using this project.
|
├── data
│   ├── processed      <- The final, canonical data sets for modeling.
│   └── raw            <- The original, immutable data dump.
│
├── notebooks          <- Jupyter notebooks.
│                         
├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
│
├── requirements.txt   <- The requirements folder
|   |── common.txt     <- shared pip packages, pip freeze > requirements/common.txt
│   │── dev.txt        <- dev only packages, pip freeze > requirements/dev.txt
|   └── prod.txt       <- prod only packages, pip freeze > requirements/prod.txt
│
├── src                <- Source code for use in this 

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

running install sets up pre-commit tests

Installing

Simply run:

docker build -f Dockerfile.prod -t template-ds-project .       

Running the tests

run pytest within docker:

docker build -f Dockerfile.test -t template-ds-project .       

Deployment

Add additional notes about how to deploy this on a live system

Benchmark

Sample Size: 10000 RMSE: 1.4967313914

Notes

Any dev notes

Common Issues

  • check blah blah