I am stucking at the last exercice(6), need help

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

dj_db: 0.12224734798757866
First few elements of regularized dj_dw:
[0.0024902811105698623, 0.0008310572821453981, -0.0003199128458138377, -0.0009249689453439485]

AssertionError Traceback (most recent call last)
in
11
12 # UNIT TESTS
—> 13 compute_gradient_reg_test(compute_gradient_reg)

~/work/public_tests.py in compute_gradient_reg_test(target)
122 dj_db, dj_dw = target(X, y, w, b, lambda_)
123
→ 124 assert np.isclose(dj_db, expected1[0]), f"Wrong dj_db. Expected: {expected1[0]} got: {dj_db}"
125 assert np.allclose(dj_dw, expected1[1]), f"Wrong dj_dw. Expected: {expected1[1]} got: {dj_dw}"
126

AssertionError: Wrong dj_db. Expected: -0.1506447567869257 got: 0.23003992576683766

2

Hi!

Can you send me your code in a direct message and I’ll take a look.

3

@ILIASSE_MAHI

you are having an error in the implementation of compute_gradient_reg_test although you don’t have any programmatic error, your return value doesn’t match the expected in the compute_gradient_reg_test function.

My Advice is to check Mathematical Equations provided to you in the notebook to lecture videos and try to follow them correctly.

and for any hint: you can use the hint provided to you in the notebook, too.