From ba994cceadafebfcf2daa1687573d494579463ce Mon Sep 17 00:00:00 2001 From: George Lacey Date: Wed, 15 Feb 2017 12:38:09 +0000 Subject: [PATCH] Plot predictions --- Main.py | 42 +++++++++++++++++++++++++++--------------- 1 file changed, 27 insertions(+), 15 deletions(-) diff --git a/Main.py b/Main.py index 4bce33d..46f6217 100644 --- a/Main.py +++ b/Main.py @@ -4,7 +4,7 @@ from Dataset import Dataset from Graph import * graph = Graph(640, 480, "Perceptron") -graph.drawLine(Point(-1000, -1000 + 20), Point(1000, 1000 + 20)) +graph.drawLine(Point(-1000, -1000 + 100), Point(1000, 1000 + 100)) rand = Random() data = Dataset(open("input.txt").read().split('\n'), open("target.txt").read().split('\n')) @@ -13,39 +13,51 @@ learn_rate = 0.01 p = Perceptron() i = data.inputs - def line_perceptron(): 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)) def answer(p_x, p_y): - if p_y > calc_y(p_x): + if p_y > calc_y(p_x) return 1 else: return -1 - def calc_y(p_x): - return p_x + 2 + return p_x + 100 - for ind in range(0, 1000): - x = rand.randint(-640 / 2, 640 / 2) - y = rand.randint(-480 / 2, 480 / 2) + for ind in range(0, 100): + x = rand.randint(-1000, 1000) + y = rand.randint(-1000, 1000) print(x, y) p.input(x, y) - print("error: %f" % p.guess(answer(x, y), learn_rate)) + z = answer(x, y) + print("error: %f" % p.guess(z, learn_rate)) - for i in range(0, 1000): + '''for i in range(0, 1000): x = int(input("x: ")) + if x == 9001: + break y = int(input("y: ")) p.input(x, y) if p.activation() == 1: - graph.win.plot(x, y, "green") - print("TRUE") + graph.drawCircle(Point(x, y), 4, "green") else: - graph.win.plot(x, y, "red") - print("FALSE") + graph.drawCircle(Point(x, y), 4, "red")''' + for i in range(0, 1000000): + x = int(input()) + y = int(input()) + if i == 500: + y = 8 + p.input(x, y) + if p.activation() == 1: + graph.drawCircle(Point(x, y), 4, "green") + else: + graph.drawCircle(Point(x, y), 4, "red") + + input() def and_perceptron(): p.add_input("1", 1, rand.uniform(-1, 1)) @@ -68,4 +80,4 @@ def and_perceptron(): else: print("FALSE") -line_perceptron() \ No newline at end of file +line_perceptron()