def main():
seasons = 100 # int(input("Seasons: "))
n = 1000000 # int(input("Points: "))
lr = 0.1 # float(input("Learning rate: "))
myPerceptron = Perceptron(2)
print("Creating Points")
data = createPoints(n)
print("\tDONE")
points = data[0]
desired = data[1]
# line = data[2]
results = []
initialValues = (myPerceptron.getBias(), myPerceptron.getWeights())
print("----------Starting----------")
for i in range(0, seasons + 1):
print("Season {}".format(i))
experiment = []
if i > 0:
print("\tTrainig")
for j in range(len(points)):
myPerceptron.learn(points[j], desired[j], lr)
print("\t\tDONE")
print("\tCalculating")
for j in range(len(points)):
experiment.append(myPerceptron.calculate(points[j]))
print("\t\tDONE")
results.append(experiment)
print("\tPrecision: {}%".format(
calculatePrecision(desired, experiment) * 100))
print("----------Finished----------")
print("\n----------Results-----------")
'''for i in range(len(results)):
print("Season {}".format(i))
print("\t precision: {}%".format(calculatePrecision(desired, results[i])*100))
'''
print("\n-----------Extras-----------")
print("Initial values")
print(" Bias: ", initialValues[0])
print(" Weights:", initialValues[1])
print("Final values")
print(" Bias: ", myPerceptron.getBias())
print(" Weights:", myPerceptron.getWeights())
