from Perceptron import Perceptron from random import Random from Dataset import Dataset from Graph import * rand = Random() data = Dataset(open("input.txt").read().split('\n'), open("target.txt").read().split('\n')) learn_rate = 0.01 graph = Graph(640, 480, "Perceptron") graph.drawLine(Point(-1000, -1000 + 20), Point(1000, 1000 + 20)) p = Perceptron() i = data.inputs p.add_input("1", 1, rand.uniform(-1, 1)) p.add_input("2", 1, rand.uniform(-1, 1)) p.add_input("bias", 1, rand.uniform(-1, 1)) # train for ind in range(0, 500): i = data.inputs for key in data.inputs: p.input(i[key].value1, i[key].value2) print("error: %f" % p.guess(i[key].target, learn_rate)) for i in range(0, 1000): x = input("Arg1: ") y = input("Arg2: ") p.input(x, y) if p.activation() == 1: print("TRUE") else: print("FALSE")