33 lines
785 B
Python
33 lines
785 B
Python
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import random
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class Perceptron:
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def __init__(self, n):
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self.weights = [random.randint(-1, 1) for _ in range(0, n)]
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self.lr = 0.1
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@staticmethod
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def sign(output):
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if output >= 0:
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return 1
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else:
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return -1
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def guess(self, inputs):
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s = 0
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for i, inp in enumerate(inputs):
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s += inp * self.weights[i]
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return Perceptron.sign(s)
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def guessY(self, x):
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w0 = self.weights[0]
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w1 = self.weights[1]
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w2 = self.weights[2]
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return -(w2 / w1) - (w0 / w1) * x
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def train(self, inputs, target):
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error = target - self.guess(inputs)
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for i, w in enumerate(self.weights):
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self.weights[i] += error * inputs[i] * self.lr
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