code/060-modeling/project/07-tune.R

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?"

tune_xgboost_plan_project <- drake_plan(
  tune_xgboost = target(
    tune_wrapper(
      learner = lrn_xgboost_proj,
      tune.control = tune_ctrl_xgboost, show.info = TRUE,
      par.set = ps_xgboost, resampling = resampl_inner,
      measure = list(rmse), task = task_7_most_imp
    )
  )
)