R/svm_poly_kernlab.R

#' Polynomial support vector machines (SVMs) via kernlab
#'
#' [kernlab::ksvm()] fits a support vector machine model. For classification,
#' the model tries to maximize the width of the margin between classes.
#' For regression, the model optimizes a robust loss function that is only
#' affected by very large model residuals.
#'
#' @includeRmd man/rmd/svm_poly_kernlab.md details
#'
#' @name details_svm_poly_kernlab
#' @keywords internal
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# See inst/README-DOCS.md for a description of how these files are processed

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parsnip documentation built on Aug. 18, 2023, 1:07 a.m.