python数据类型报错

Question

问题遇到的现象和发生背景

python 写线性回归代码时遇到变量类型报错的问题

问题相关代码，请勿粘贴截图

def train(self,alpha,num_iterations = 500):
       
        cost_history = self.gradient_descent(alpha,num_iterations)##此处有问题
        return self.theta,cost_history
        
    def gradient_descent(self,alpha,num_iterations):
        cost_history = []
        for x in range(num_iterations):
            self.gradient_step(alpha)
            cost_history.append(self.cost_function(self.data,self.labels))
        return cost_history
        
        
    def gradient_step(self,alpha):    
        num_examples = data.shape[0]
        prediction = LinearRegression.hypothesis(self.data,self.theta)
        delta = prediction - self.labels
        theta = self.theta
        theta = theta - alpha*(1/num_examples)*(np.dot(delta.T,self.data)).T
        self.theta = theta
        
        
    def cost_function(self,data,labels):
        self.m = len(labels)
        delta = LinearRegression.hypothesis(data,self.theta) - labels
        cost = (1/2)*np.dot(delta.T,delta)/self.m
        return cost[0][0]
        
    
    def hypothesis(data,theta):   
        predictions = np.dot(data,theta)
        return predictions
        

x_train =rescombine
y_train = labels

num_iterations = 500  
learning_rate = 0.01  


linear_regression = LinearRegression(x_train, y_train)

(theta, cost_history) = LinearRegression.train(learning_rate, num_iterations)##此处有问题

print(theta, cost_history)
print('开始损失',cost_history[0])
print('结束损失',cost_history[-1])

运行结果及报错内容

发生异常: AttributeError
'float' object has no attribute 'gradient_descent'
File "C:\Users\Xpc\Desktop\LinearRegression\linear_regression.py", line 299, in train
cost_history = self.gradient_descent(alpha,num_iterations)
File "C:\Users\Xpc\Desktop\LinearRegression\linear_regression.py", line 340, in
(theta, cost_history) = LinearRegression.train(learning_rate, num_iterations)

我的解答思路和尝试过的方法

我不知道是不是我写的程序有问题，还是数据的类型不对

Answer 1

你 self.gradient_descent(alpha,num_iterations) 中 self是float浮点数类型,不可能有gradient_descent方法吧
你调用train()方法的方式不对
要用LinearRegression类的实例对象 linear_regression 调用train()方法
不是用LinearRegression类本身调用train()方法,

(theta, cost_history) = LinearRegression.train(learning_rate, num_iterations)##此处有问题

改成

(theta, cost_history) = linear_regression.train(learning_rate, num_iterations)##此处有问题