setup_GridSearch: Setup Grid Search Parameters
In egenn/rtemis: Machine Learning and Visualization

setup_GridSearch

R Documentation

Setup Grid Search Parameters

Description

Create a GridSearchParams object that can be passed to train.

Usage

setup_GridSearch(
  resampler_parameters = setup_Resampler(n_resamples = 5L, type = "KFold"),
  search_type = "exhaustive",
  randomize_p = NULL,
  metrics_aggregate_fn = "mean",
  metric = NULL,
  maximize = NULL,
  parallel_type = "future",
  n_workers = rtemis_workers
)

Arguments

`resampler_parameters`	`ResamplerParameters` set by setup_Resampler.
`search_type`	Character: "exhaustive" or "randomized". Type of grid search to use. Exhaustive search will try all combinations of parameters. Randomized will try a random sample of size `randomize_p` * `⁠N of total combinations⁠`
`randomize_p`	Float (0, 1): For `search_type == "randomized"`, randomly test this proportion of combinations.
`metrics_aggregate_fn`	Character: Name of function to use to aggregate error metrics.
`metric`	Character: Metric to minimize or maximize.
`maximize`	Logical: If TRUE, maximize `metric`, otherwise minimize it.
`parallel_type`	Character: Parallel backend to use.
`n_workers`	Integer: Number of workers to use.