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Install instructions

Authors:

CIS 422 @ University of Oregon
Team Bitwise
Ronny Fuentes, Kyra Novitzky, Stephanie Schofield, Alec Springel, Seth Tal

Last modified February 10, 2021

Installation

For Users:

pip install transformation-tree

See the documentation below for use cases and examples.

For Developers:

  • make sure python is installed and added to PATH
  • check python version (>=3.7.9)
  • make sure pip is installed
  • clone the repository:
git clone https://github.com/Sephta/time-series-modeling.git
  • install dependencies:
pip install -r requirements.txt

Directories

  • All source code can be found within transformation_tree.
  • /transformation_tree/tests contains some test cases using PyTest which can be executed by installing PyText and running "pytest" in the command line