定义逻辑回归成本函数时存在语法错误

Question

# UNQ_C2
# GRADED FUNCTION: compute_cost
def compute_cost(X, y, w, b, *argv):
    """
    Computes the cost over all examples
    Args:
      X : (ndarray Shape (m,n)) data, m examples by n features
      y : (ndarray Shape (m,))  target value 
      w : (ndarray Shape (n,))  values of parameters of the model      
      b : (scalar)              value of bias parameter of the model
      *argv : unused, for compatibility with regularized version below
    Returns:
      total_cost : (scalar) cost 
    """

    m, n = X.shape
    
    ### START CODE HERE ###
    

    total_cost = 0
    for i in range(m):
        z = np.dot(X[i], w)
        z = np.sum(z, axis=1) + b
        total_cost += -(y[i] * np.log(sigmoid(z)) - ((1 - y[i]) * np.log(1 - sigmoid(z)))
           
    
    total_cost =  total_cost / m

    
    ### END CODE HERE ### 

    return total_cost

我正在尝试定义一个计算逻辑回归模型成本的函数，但它似乎有一些问题。它在

(total_cost =  total_cost / m)

上显示语法错误，但我不知道它出了什么问题

尝试获取total_cost的标量值

Answer 1

您在上一行中缺少结束语

)

：

total_cost += -(y[i] * np.log(sigmoid(z)) - ((1 - y[i]) * np.log(1 - sigmoid(z))))
# This is missing ---------------------------------------------------------------^