这是我的代码。
def h(x, theta): # this is probability/hypotheses
return np.dot(x, theta)
def cost(x, y, theta): # this is cost function
m = x.shape[0]
hypothesis = h(x, theta)
error = hypothesis - y
return 1 / (2 * m) * (np.dot(error.T, error)) # (1/2m)*sum[(error)^2]
我有一个函数“ h”,它正在计算2个矩阵的点积。并且它按预期工作。我测试了,这里是输出
print("x.shape = ", x.shape) # x.shape = (97, 2)
print("theta.shape =", theta.shape) # theta.shape = (2, 1)
print("my_hypothesis.shape =", my_hypothesis.shape) # my_hypothesis.shape = (97, 1)
但是当我从内置的“ cost”函数中调用函数“ h”时。假设= h(x,theta)我收到错误消息:
TypeError: 'numpy.ndarray' object is not callable
如果我用假设= np.dot(x,theta)代替线假设= h(x,theta),那么它工作正常。
请让我做错什么?
我已经解决了这个问题,我只是说这句话