线性回归算法样例，python语言编写

好的，这是一个简单的线性回归算法的Python代码样例：

import numpy as np

class LinearRegression:
    def __init__(self, lr=0.01, epochs=1000):
        self.lr = lr
        self.epochs = epochs
        self.weights = None
        self.bias = None
    
    def fit(self, X, y):
        n_samples, n_features = X.shape
        self.weights = np.zeros(n_features)
        self.bias = 0
        
        for _ in range(self.epochs):
            y_pred = np.dot(X, self.weights) + self.bias
            dw = (1/n_samples) * np.dot(X.T, (y_pred - y))
            db = (1/n_samples) * np.sum(y_pred - y)
            self.weights -= self.lr * dw
            self.bias -= self.lr * db
    
    def predict(self, X):
        y_pred = np.dot(X, self.weights) + self.bias
        return y_pred

使用方法如下：

# 导入数据，X和y分别为输入和输出数据
X = ...
y = ...

# 创建线性回归模型并训练
model = LinearRegression()
model.fit(X, y)

# 使用模型进行预测
X_test = ...
y_pred = model.predict(X_test)