Not able to understand the error(week 2)

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification
1

AssertionError Traceback (most recent call last)
in
71 # Public tests
72 from public_tests import *
—> 73 compute_cost_test(compute_cost)

~/work/public_tests.py in compute_cost_test(target)
17 initial_b = 1.0
18 cost = target(x, y, initial_w, initial_b)
—> 19 assert cost == 2, f"Case 2: Cost must be 2 but got {cost}"
20
21 # print(“Using X with shape (5, 1)”)

AssertionError: Case 2: Cost must be 2 but got 0.5

2

Hi Kakarla, it means the cost you computed is not as expected. You probably need to check the implementation of the related function (to compute the cost).

Best,
Kezhen

3

Ok,thank you.
But I have implemented it correctly I don’t know where I have done mistake.
mlcoursera.py (1.0)
can you please tell me where i have done wrong?

4

Hi Kakarla_Sai_Murari, I looked at your code, it seems you have typed
“cost_sum = cost_sum + cost” outside the indentation of for loop. So cost is not being added per iteration of loop. You should use similar identation for
“cost_sum = cost_sum + cost” as you used for earlier lines, in order to it iterate under for loop.