Last data update: 2014.03.03
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R: lasvmTrainWrapper
lasvmTrainWrapper | R Documentation |
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
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y |
training labels
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gamma |
RBF kernel bandwidth
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cost |
regularization constant
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degree |
degree for poly kernel
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coef0 |
coefficient for poly kernel
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optimizer |
type of optimizer
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kernel |
kernel type
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selection |
selection strategy
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termination |
criterion for stopping
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sample |
parameter for stopping criterion, e.g. seconds
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cachesize |
size of kernel cache
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bias |
use bias?
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epochs |
number of epochs
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epsilon |
stopping criterion parameter
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verbose |
verbose output?
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Value
a list consisting of
SV matrix of support vectors
alpha vector of alpha coefficients
bias bias term
Results
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