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What is this project?

Project title: Taffic Patterns in New York City

Team members: Richard Sowers, Derek Yager, Vaibhav Karve, Marzieh Abolhelm.

What does this code do?

  • It factorizes a matrix D into two smaller matrices W and H such that:
    • D, W, H all have non-negative entries
    • Column sum of W is 1 for each column
    • H is sparse
  • It applies matrix factorization to study traffic patterns of taxi-travel in New York City.

Minimal requirements for running this code?

  • System requirements:
    • Python3
    • Jupyter Notebook
  • Files needed: In order to run this code, you will need a copy of the util folder and its contents. The notebooks at the top level ./ can be run independently of each other.

How is this repository organized?

  • ./ (Home directory: Files listed in order of increasing complexity)
    • NMF.ipynb
    • verifier.ipynb
    • CNMF.ipynb
    • SCNMF.ipynb
    • sparsity.ipynb
  • utils/ (Contains all utilities and class definitions)
    • NonNegProjector.py
    • Objective.py
    • EndChecker.py
    • RandomMagnitude.py

Importing into Jupyter Notebook

For example we can import everything in EndChecker.py to a notebook by adding a line as such:

from util.EndChecker import *