7. (4 points) To train our soft classifier using logistic regression we seek to minimize the following cost function. C()=M1(i=1m1log(1g(ai))+i=1m2log(g(bi)))+22 (a) (1 point) What is the purpose of the hyperparameter in the cost formula? (b) (1 point) What nonlinear system do we solve using Newton's method to minimize the cost function C ? (c) (1 point) When using Newton's method to minimize the cost function C, what vector 0 do we use for our initial guess? (d) (1 point) Write the Newton's method update formula for determining k+1 in terms of k and the derivatives of the cost function C. 7. (4 points) To train our soft classifier using logistic regression we seek to minimize the following cost function. C()=M1(i=1m1log(1g(ai))+i=1m2log(g(bi)))+22 (a) (1 point) What is the purpose of the hyperparameter in the cost formula? (b) (1 point) What nonlinear system do we solve using Newton's method to minimize the cost function C ? (c) (1 point) When using Newton's method to minimize the cost function C, what vector 0 do we use for our initial guess? (d) (1 point) Write the Newton's method update formula for determining k+1 in terms of k and the derivatives of the cost function C