NC A&T COMP410 Summer Session Project

Preparing unstructured data for deep feature synthesis

Installation

Anaconda environment is highly recommended. Download the version appropriate for your system here
This project is currently based on Python 3.8 - here is a link to the Anaconda getting started guide. Note that the Anaconda Navigator GUI can be used instead of CLI.
- Open a conda shell
  - conda update conda
  - conda create --name py38 python=3.8
- Activate your new venv
  - conda activate py38
- Install jupyterlab if you want (optional)
  - conda install jupyterlab==1.2.6
- Clone this project and cd to your clone
  - cd to directory you want to put this in
  - git clone (project URL above - Green clone button)
  - cd comp410_summer2020
- Install requirements
  - python -m pip install -r requirements.txt
- python demo.py
  - Downloads necessary data
  - Runs a quick demo
Testing
- conda install pytest-cov
- cd dfstools
- pytest --cov=dfstools

All pull requests much attach output from pytest showing all test cases passed along with the coverage report or pull request will be rejected.