Wavelet Support Vector Machine — svm

wavelet kernel for support vector machines

Usage

svm_wavelet(
  mode = "unknown",
  engine = "kernlab",
  cost = NULL,
  margin = NULL,
  sigma = NULL,
  a = 1,
  c = NULL,
  h = NULL
)

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)
sigma: sigma parameter for svm wavelet kernel
a: scale adjustment parameter for wavelet kernels (temp name)
c: dist adjustment parameter for wavelet kernels can be NULL (temp name)
h: wavelet function for wavelet kernel, default wavelet if NULL (temp name)