import pickle

import additiveModel as addMod

input = open("localData.txt", "rb")
localData = pickle.load(input)
input.close()
symptoms = localData[0]
environment = localData[1]
xaxis = localData[2]

averagingwindow = 7
coeff = 0.6

select = [[12, 1], [19, coeff]]
labels = ["Knees", "Steps", "Mnt Bike"]

addMod.additiveModel(0, select, labels, symptoms, environment, xaxis, averagingwindow)
