dj_db at test_w: -0.6
dj_dw at test_w: [-44.83135362 -44.37384125]
Expected Output:
|dj_db at initial w (zeros)|-0.5999999999991071|
|ddj_dw at initial w (zeros):|[-44.831353617873795
7, -44.37384124953978]|
7, -44.37384124953978]|
I suggest you to check out the public test by clicking “Open” > “File” > “public_tests.py” where you will find the test function compute_gradient_test , and then you know how the X and y are generated for the test case. You can generate the X yourself by copying, pasting and running the first 5 lines of code in the function on your jupyter notebook. Then you can print X out to inspect the content. Since there are only 7 samples in this test case, try to compute, with paper-and-pencil, the gradient for the first sample using (1) your code and (2) the maths formula, and if it doesn’t match, then you have a good lead to find out the problem; if it matches, repeat the comparison for the next sample until you find a mismatch.
But the results approx correct
Thank you, I got it.
1 Like
It’s great! Nothing is better than you being able to debug your code 
Raymond