def main():
gui = Gui()
rawData = readDataset(dataPath)
data = parseData(rawData)
gui.drawData(data)
training, heldout, test = divideData(data)
rawdata = unlableData(heldout)
for sample in heldout:
classification = classify(training, sample)
print(sample, classification)
gui.getMouse()
def main():
gui = Gui()
rawData = readDataset(dataPath)
data = parseData(rawData)
gui.drawData(data)
# training, heldout, test = divideData(data)
gui.getMouse()
weights = learn(data)
if numClass == 2:
gui.drawDivision(weights[0])
gui.getMouse()
