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