mlr3 (version 0.1.1)

mlr_control: Execution Control Object

Description

This function creates a named list of settings which control the execution of a Learner.

• store_models (logical(1)): If FALSE (default), models fitted during resample() and benchmark() are discarded. Note that you will be unable to predict on new data or extract additional information like variable importance from the learner.

Defaults

$store_models
TRUE
$log_threshold
400

Usage

mlr_control(...)

Arguments

...

:: any Named arguments to overwrite the defaults / options. Settings may be provided in a name = value fashion, or by providing a single named list().

Value

(named list()) of all settings.

Examples

# NOT RUN {
# get a list of the defaults
mlr_control()
# }