#在计算损失函数时,总是报错
#已有:X 为(97, 2)的dataframe
#y为(97,1)的dataframe
#theta为(1,2)的dataframe
#代码如下:
def Compute_cost(theta, X, y):
total_cost = (X*theta.T-y)**2
m = len(y)
J = total_cost/(2*m)
return J
print(Compute_cost(theta,X,y))
#运行结果及报错内容
Unable to coerce to DataFrame, shape must be (97, 2): given (2, 1)
#猜测可能是dataframe的type问题,用np.mat()转换theta 后问题依然存在