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

Pull Request Requirements

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