tune_wrapper: Create a mlr tune wrapper

In pat-s/2019-feature-selection: Research Compendium package for the publication "Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?"

Description

Creates a mlr MBO tune wrapper

Usage

tune_wrapper(
  learner,
  tune.control,
  show.info,
  par.set,
  resampling,
  measure,
  task
)

Arguments

learner	Learner from mlr::makeLearner
tune.control	See mlr::tuneParams()
show.info	See mlr::tuneParams()
par.set	See mlr::tuneParams()
resampling	mlr resampling
measure	Measure for scoring.
task	mlr task

pat-s/2019-feature-selection documentation built on Dec. 24, 2021, 8:40 a.m.