should be able to read the expected parameters and return values from the docstring

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

(c) [2pt] We have provided Python starter code to perform gradient descent on this model

and you need to write two functions. Complete the function robust_regression_grad,

which computes the gradients of the robust regression model for a weight vector w. You

should be able to read the expected parameters and return values from the docstring.

You will want find the functions np.where, np.abs, np.dot, np.shape, and np.sign.

You may submit your code as a screenshot or the completed script q2.py.

(d) [2pt] Complete the function optimization. This function initializes a weight vector at 0 and runs gradient descent for num_iterations. There is no need to modify

num_iterations nor the initialization of w. You should use your function robust_regression_grad

in this function. You may submit your code as a screenshot or the completed script

q2.py.

2

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