tl_fit_svm: Fit a support vector machine model

In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem

Fit a support vector machine model

Description

Fit a support vector machine model

Usage

tl_fit_svm(
  data,
  formula,
  is_classification = FALSE,
  kernel = "radial",
  cost = 1,
  gamma = NULL,
  degree = 3,
  tune = FALSE,
  tune_folds = 5,
  ...
)

Arguments

data	A data frame containing the training data
formula	A formula specifying the model
is_classification	Logical indicating if this is a classification problem
kernel	Kernel function ("linear", "polynomial", "radial", "sigmoid")
cost	Cost parameter (default: 1)
gamma	Gamma parameter for kernels (default: 1/ncol(data))
degree	Degree for polynomial kernel (default: 3)
tune	Logical indicating whether to tune hyperparameters (default: FALSE)
tune_folds	Number of folds for cross-validation during tuning (default: 5)
...	Additional arguments to pass to svm()

Value

A fitted SVM model

tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.