tl_tune_random: Tune hyperparameters for a model using random search

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

Tune hyperparameters for a model using random search

Description

Tune hyperparameters for a model using random search

Usage

tl_tune_random(
  data,
  formula,
  method,
  param_space,
  n_iter = 10,
  folds = 5,
  metric = NULL,
  maximize = NULL,
  verbose = TRUE,
  seed = NULL,
  ...
)

Arguments

data	A data frame containing the training data
formula	A formula specifying the model
method	The modeling method to tune
param_space	A named list of parameter spaces to sample from
n_iter	Number of random parameter combinations to try
folds	Number of cross-validation folds
metric	Metric to optimize
maximize	Logical; whether to maximize (TRUE) or minimize (FALSE) the metric
verbose	Logical; whether to print progress
seed	Random seed for reproducibility
...	Additional arguments passed to tl_model

Value

A list with the best model and tuning results

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