def threeHourDemoPredict(self):
print("PREDICT")
usage = smartOff.predictOnNext3Hours(self.model, "1515578400",
self.maxUsage)
pyplot.plot(usage, label="10th Jan 2018 5 AM to 8 AM")
pyplot.legend()
graphFile = 'images/' + ''.join(
random.choice('abcdefghighklmnopqrst') for _ in range(5)) + '.png'
pyplot.savefig(graphFile)
pyplot.clf()
img_root = Toplevel()
img_gui = ShowImage(img_root, graphFile)
img_root.mainloop()
def threeHourDemoPredict(self):
timeGM = time.localtime()
ts = calendar.timegm(timeGM)
print("PREDICTING FOR", ts)
usage = smartOff.predictOnNext3Hours(self.model, str(ts),
self.maxUsage)
pyplot.plot(usage, label="6th July 2017 1 PM to 4 PM")
pyplot.legend()
graphFile = 'images/' + ''.join(
random.choice('abcdefghighklmnopqrst') for _ in range(5)) + '.png'
pyplot.savefig(graphFile)
pyplot.clf()
img_root = Toplevel()
img_gui = ShowImage(img_root, graphFile)
img_root.mainloop()
def threeHourPredict(self):
timeGM = time.localtime()
ts = time.time() #calendar.timegm(timeGM)
print("PREDICTING FOR", ts)
usage = smartOff.predictOnNext3Hours(self.model, str(ts),
self.maxUsage)
labelG = str(timeGM.tm_mon) + '/' + str(timeGM.tm_mday) + '/' + str(
timeGM.tm_year)
labelG = labelG + " From " + str(timeGM.tm_hour) + ":" + str(
timeGM.tm_min) + " to "
labelG = labelG + " To " + str(timeGM.tm_hour + 3) + ":" + str(
timeGM.tm_min)
pyplot.plot(usage, label=labelG)
pyplot.legend()
graphFile = 'images/' + ''.join(
random.choice('abcdefghighklmnopqrst') for _ in range(5)) + '.png'
pyplot.savefig(graphFile)
pyplot.clf()
img_root = Toplevel()
img_gui = ShowImage(img_root, graphFile)
img_root.mainloop()