pandoc: 2.2.1
pkgdown: 1.1.0.9000
pkgdown_sha: ~
articles:
  _mlr-tutorial_intro: _mlr-tutorial_intro.html
  advanced_tune: advanced_tune.html
  bagging: bagging.html
  benchmark_experiments: benchmark_experiments.html
  classifier_calibration: classifier_calibration.html
  configureMlr: configureMlr.html
  cost_sensitive_classif: cost_sensitive_classif.html
  create_filter: create_filter.html
  create_imputation: create_imputation.html
  create_learner: create_learner.html
  create_measure: create_measure.html
  example_tasks: example_tasks.html
  feature_selection: feature_selection.html
  filter_methods: filter_methods.html
  functional_data: functional_data.html
  handling_of_spatial_data: handling_of_spatial_data.html
  hyperpar_tuning_effects: hyperpar_tuning_effects.html
  impute: impute.html
  integrated_learners: integrated_learners.html
  learner: learner.html
  learning_curve: learning_curve.html
  measures: measures.html
  mlr: mlr.html
  mlr_publications: mlr_publications.html
  multilabel: multilabel.html
  nested_resampling: nested_resampling.html
  out_of_bag_predictions: out_of_bag_predictions.html
  over_and_undersampling: over_and_undersampling.html
  parallelization: parallelization.html
  partial_dependence: partial_dependence.html
  _pdf_wrapper: pdf/_pdf_wrapper.html
  performance: performance.html
  predict: predict.html
  preproc: preproc.html
  resample: resample.html
  roc_analysis: roc_analysis.html
  talks_videos_workshops: talks_videos_workshops.html
  task: task.html
  train: train.html
  tune: tune.html
  usecase_regression: usecase_regression.html
  visualization: visualization.html
  wrapper: wrapper.html
urls:
  reference: https://mlr-org.github.io/mlr/reference
  article: https://mlr-org.github.io/mlr/articles