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lasvmR (version 0.1.2)

lasvmTrainWrapper: lasvmTrainWrapper

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