> The Spider Objects

>            LMS object

>        A=LMS(H) returns a lms object initialized with hyperparameters H.

>        Hyperparameters, and their defaults
>         ridge=1e-13;         -- a ridge on the kernel
>         indices = []         -- indices of a reduced set of centers to be used
>                                 for learning. ([] means use all training set)
>         balanced_ridge=0;    -- for unbalanced data
>         child=kernel;        -- the kernel is stored as a member called "child"
>         use_b=1              -- find a threshold, otherwise fix to 0

>        Model
>         alpha                -- the weights
>         b0                   -- the threshold
>         X                    -- the set of centers

>        Methods:
>         train, test, get_w

> | Reference : chapter 5 (Richard O. Duda and Peter E. Hart) Parzen Windows

> | Author : Richard O. Duda , Peter E. Hart

> | Link : http://www.amazon.com/exec/obidos/tg/detail/-/0471056693/002-6279399-2828812?v=glance