laplacian kernel for support vector machines
Usage
svm_laplace(
mode = "unknown",
engine = "kernlab",
cost = NULL,
margin = NULL,
laplace_sigma = NULL
)
Arguments
- mode
regression or classification
- engine
kernlab ksvm
- cost
A positive number for the cost of predicting a sample within
or on the wrong side of the margin
- margin
A positive number for the epsilon in the SVM insensitive
loss function (regression only)
- laplace_sigma
sigma parameter for laplacian
