supportVectorMachine: SVM classification panel

In singha53/amritr: Accessory Functions Used by Amrit Singh

Description

build a SVM classification panel

Usage

supportVectorMachine(X, Y, X.test = NULL, Y.test = NULL,
  family = "binomial", filter = "p.value", topranked = 50)

Arguments

X	nxp matrix - training dataset
Y	categorical variables
X.test	nxp matrx - test dataset
family	"binomial" or "multinomial"
filter	= "none" or "p.value"
topranked	= 50 (top number of features to select and build a classifier)
alpha	= 1 (lasso), alpha = 0 (ridge), 0 < alpha < 1 (elastic net penalty)
lambda	= strength of elastic net penalty

singha53/amritr documentation built on July 21, 2019, 3:46 p.m.