perClass Documentation
version 5.1 (31-May-2017)
 SDLOGISTIC  Discriminant based on logistic regression

    P=SDLOGISTIC(DATA,options)

 INPUT
   DATA    labeled data set

 OUTPUT
   P       logistic classifier

 OPTIONS
  'iters',N   Number of optimization iterations (def: N=10000)
  'step',S    Optimization step (def: 0.01)
  'degree',D  Degree for polynomial expansion (def:3)
  'noexpand'  Do not perform polynomial expansion (def: use expansion)
  'noscale'   Do not scale the data (def: data is scaled after expansion)

 DESCRIPTION
 SDLOGISTIC implements logistic discriminant trained by gradient descent
 optimization in a polynomially-expanded feature-space.

 SEE ALSO
 SDEXPAND