lasvmTrainWrapper: lasvmTrainWrapper

In aydindemircioglu/lasvmR: A Simple Wrapper for the LASVM Solver

Description

Use lasvm to train a given problem.

Usage

lasvmTrainWrapper(x, y, gamma, cost, degree = 3, coef0 = 0L,
  optimizer = 1L, kernel = 2L, selection = 0L, termination = 0L,
  sample = 0, cachesize = 256L, bias = 1L, epochs = 1L,
  epsilon = 0.001, verbose = FALSE)

Arguments

x	data matrix
y	training labels
gamma	RBF kernel bandwidth
cost	regularization constant
degree	degree for poly kernel
coef0	coefficient for poly kernel
optimizer	type of optimizer
kernel	kernel type
selection	selection strategy
termination	criterion for stopping
sample	parameter for stopping criterion, e.g. seconds
cachesize	size of kernel cache
bias	use bias?
epochs	number of epochs
epsilon	stopping criterion parameter
verbose	verbose output?

Value

a list consisting of SV matrix of support vectors alpha vector of alpha coefficients bias bias term

aydindemircioglu/lasvmR documentation built on May 11, 2019, 4:14 p.m.