感知机算法代码python

以下是感知机算法的Python代码示例：

import numpy as np

class Perceptron:
    def __init__(self, num_inputs, learning_rate=0.1):
        self.weights = np.zeros(num_inputs + 1)
        self.lr = learning_rate

    def predict(self, inputs):
        summation = np.dot(inputs, self.weights[1:]) + self.weights[0]
        return 1 if summation > 0 else 0

    def train(self, training_inputs, labels, epochs):
        for _ in range(epochs):
            for inputs, label in zip(training_inputs, labels):
                prediction = self.predict(inputs)
                self.weights[1:] += self.lr * (label - prediction) * inputs
                self.weights[0] += self.lr * (label - prediction)

希望这可以帮助你了解感知机算法的实现。