Here is my code.
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]
I have a function "h" which is calculating dot products of 2 matrices. and it is working as expected. I tested it and here is output
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)
But when i am calling function "h" from with-in "cost" function. hypothesis = h(x, theta) I am getting error:
TypeError: 'numpy.ndarray' object is not callable
If i replace line hypothesis = h(x, theta) with hypothesis = np.dot(x, theta) then it is working fine.
Please let me what wrong i am doing?
I have fixed the issue , i just this statement
return (alpha * (1 / m) * (np.dot(error.T, x))).T
Below is link of working code.
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