Week 3 Ex 4 Value Error

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

I have looked out for errors but could not find any and also I did apply sigmoid before prediction. This is the output text:

Output of predict: shape (4,), value [1. 1. 1. 1.]

ValueError Traceback (most recent call last)
in
9
10 # UNIT TESTS
—> 11 predict_test(predict)

~/work/public_tests.py in predict_test(target)
67 expected_1 = [1., 1., 1., 0., 1., 0., 0., 1.]
68 if np.allclose(result, wrong_1):
—> 69 raise ValueError(“Did you apply the sigmoid before applying the threshold?”)
70 assert result.shape == (len(X),), f"Wrong length. Expected : {(len(X),)} got: {result.shape}"
71 assert np.allclose(result, expected_1), f"Wrong output: Expected : {expected_1} got: {result}"

ValueError: Did you apply the sigmoid before applying the threshold?

2

Hi @Mubin_Likhon ,

Please check your code against the Hints provided to make sure the logic is correct and the code block is structured with the correct indentations. Be sure the bias term only added to z_wb outside of the 2nd ‘for’ loop when all the features is done.

3

I did check everything you mentioned, no clues yet.

4

Solved it, thank btw.