The HPSVM Procedure

is highly multithreaded during all phases of analytic execution

supports large-scale training data

supports both continuous and categorical inputs

supports classification of a binary target

supports the interior point method and the active-set method

supports data partition for model validation

supports cross validation for penalty selection

supports scoring of models