I have seen in the Pang book of data mining the following example:
x1 x2 y Lagrange multiplier 0.3858 0.4687 1 65.5261 0.4871 0.611 -1 65.5261 0.9218 0.4103 -1 0 0.7382 0.8936 -1 0 0.1763 0.0579 1 0 0.4057 0.3529 1 0 0.9355 0.8132 -1 0 0.2146 0.0099 1 0
which is related to SVM, in almost all the literature about his topic is used the Lagrangian multipliers that are obtained after solving the dual Lagrange:
where x_i and x_j are vectors corresponding to the train data showed in x1 and x2. The value of y corresponds when a data set (xi,xj) is classified with a label of 1 and which with a label of -1. The alpha values are the Lagrange multipliers that should be obtained after making the partial derivatives of each of the terms in LD.
In the book is only mentioned the values of the Lagrange multiplier, but I am lost about how to implement it in Mathematica. Is there any way to obtain the list of Lagrange multipliers that the author mentions for the different cases?