In the regression model we talked about in class, we assume that for each training data point x, its output value yi is observed. However in some situations that we can not measure the exact value of yi. Instead we only have information about if yi Is larger or less than some value zi. More specifically, the training data is given as a triplet (x,, 2i, bi), where ·Xi Is represented by a vector φ(K)-( 40(Xi), . . . , фМ-1 (Xi)) ' . 2 zi E R is a scalar, bi E 10, 1) is a binary variable indicating that if the true output yi is larger than (b,-1) or not bi 0 Develop a regression model for the ambiguous training data (X,, 2,, bi), i- 1, , n