Introduction

This folder contains the code and associated files to run the glucose prediction algorithm.

Contents

dataAccess.py

This module contains the team's functions for interacting with the database.

gluPredict.csv

This CSV file contains a table displaying the actual and the predicted glucose values from mid-May to mid-June. 

lab.db

This file contains the database with the machine learning group's added columns.

ml.py

This program imports a set of sensor data from the database (lab.db), generates a predicted value for each time in the data set, and and exports the predicted glucose values and the actual values to a .csv (generated gluPredict.csv).

ML_Documentation.pdf

This PDF explains the predictive algorithm coded in ml.py.

plotly.py

This program imports gluPredict.csv and generates a timeseries graph (via Plotly) of the predicted and actual glucose values.

README.md

This file is README.md.