Hi team! So as I am trying to complete the section 2.6 Learning parameters using gradient descent of the logistic regression lab, I encountered this error where according to the instruction there is nothing I need to implement: compute_gradient() takes 4 positional arguments but 5 were given I di…

Did you modify any of the code in the gradient_descent() function?

No and frankly I don’t think I knew how. Thanks!

also how can I reset the lab for a fresh start? Thanks!

Try the FAQ: [image] FAQ: Frequently Asked Questions for all MLS Courses MLS Resources FAQ Hello learners, hope you find this FAQs helpful. If you have a specific question on course materials, please read this FAQ first. A. Resources Download Where can…

Hey, I’m also facing the same issue at 2.6 Learning parameters using gradient descent. This is the error I’m getting --------------------------------------------------------------------------- TypeError Traceback (most recent call last) in 8 9 w,b, J_history,_ =…

And I passed most of the exercises in the assignment but when I submitted I got 0% and the feedback was Cell #17. Can’t compile the student’s code. Error: TypeError(‘compute_gradient() takes 4 positional arguments but 5 were given’)

@Leo_Y @shambhavi_mishra {reply edited}

Tip: Do not edit the definition of the compute_gradient() function. It should have five arguments, like this: [image]

Hey, thanks alot for your help :slight_smile:

C1W3 Lab 4 Error w/ 2.6 Learning parameters using gradient descent

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

TMosh April 26, 2023, 3:54pm 5

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C1W3 Lab 4 Error w/ 2.6 Learning parameters using gradient descent

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