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Plot predictions

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This commit is contained in:
George Lacey 2017-02-15 12:38:09 +00:00
parent 77380e3ef3
commit ba994ccead
1 changed files with 27 additions and 15 deletions
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40
Main.py
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@ -4,7 +4,7 @@ from Dataset import Dataset
from Graph import * from Graph import *
graph = Graph(640, 480, "Perceptron") 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() rand = Random()
data = Dataset(open("input.txt").read().split('\n'), open("target.txt").read().split('\n')) data = Dataset(open("input.txt").read().split('\n'), open("target.txt").read().split('\n'))
@ -13,39 +13,51 @@ learn_rate = 0.01
p = Perceptron() p = Perceptron()
i = data.inputs i = data.inputs
def line_perceptron(): def line_perceptron():
p.add_input("1", 1, rand.uniform(-1, 1)) p.add_input("1", 1, rand.uniform(-1, 1))
p.add_input("2", 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): def answer(p_x, p_y):
if p_y > calc_y(p_x): if p_y > calc_y(p_x)
return 1 return 1
else: else:
return -1 return -1
def calc_y(p_x): def calc_y(p_x):
return p_x + 2 return p_x + 100
for ind in range(0, 1000): for ind in range(0, 100):
x = rand.randint(-640 / 2, 640 / 2) x = rand.randint(-1000, 1000)
y = rand.randint(-480 / 2, 480 / 2) y = rand.randint(-1000, 1000)
print(x, y) print(x, y)
p.input(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: ")) x = int(input("x: "))
if x == 9001:
break
y = int(input("y: ")) y = int(input("y: "))
p.input(x, y) p.input(x, y)
if p.activation() == 1: if p.activation() == 1:
graph.win.plot(x, y, "green") graph.drawCircle(Point(x, y), 4, "green")
print("TRUE")
else: else:
graph.win.plot(x, y, "red") graph.drawCircle(Point(x, y), 4, "red")'''
print("FALSE")
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(): def and_perceptron():
p.add_input("1", 1, rand.uniform(-1, 1)) p.add_input("1", 1, rand.uniform(-1, 1))