_pkgdown.yml

url: https://mlr-org.github.io/mlr

template:
  params:
    bootswatch: cosmo
    docsearch:
      api_key: e300ecafdf04fe1199e3339c825ce7d0
      index_name: mlr
  path: pkgdown/templates
  assets: pkgdown/assets
  default_assets: false

development:
  mode: unreleased
  destination: devel
  version_label: default
  version_tooltip: "Github version"

toc:
  depth: 3

home:
  links:
  - text: Cheatsheet
    href: https://github.com/mlr-org/mlr/blob/master/addon/cheatsheet/MlrCheatsheet.pdf

navbar:
  title:
  type: default
  left:
  #- icon: fa-home
  #  href: index.html
  - text: Basics
    menu:
    - text: Tasks
      href: articles/tutorial/task.html
    - text: Learners
      href: articles/tutorial/learner.html
    - text: Train
      href: articles/tutorial/train.html
    - text: Predict
      href: articles/tutorial/predict.html
    - text: Preprocessing
      href: articles/tutorial/preproc.html
    - text: Performance
      href: articles/tutorial/performance.html
    - text: Resampling
      href: articles/tutorial/resample.html
    - text: Tuning
      href: articles/tutorial/tune.html
    - text: Benchmark Experiments
      href: articles/tutorial/benchmark_experiments.html
    - text: Parallelization
      href: articles/tutorial/parallelization.html
    - text: Visualization
      href: articles/tutorial/visualization.html
    - text: Use case - Regression
      href: articles/tutorial/usecase_regression.html

  - text: Advanced
    menu:
    - text: Configuration
      href: articles/tutorial/configureMlr.html
    - text: Wrapped Learners
      href: articles/tutorial/wrapper.html
    - text: Imputation
      href: articles/tutorial/impute.html
    - text: Generic Bagging
      href: articles/tutorial/bagging.html
    - text: Advanced Tuning
      href: articles/tutorial/advanced_tune.html
    - text: Feature Selection/Filtering
      href: articles/tutorial/feature_selection.html
    - text: Nested Resampling
      href: articles/tutorial/nested_resampling.html
    - text: Cost-Sensitive Classification
      href: articles/tutorial/cost_sensitive_classif.html
    - text: Imbalanced Classification Problems
      href: articles/tutorial/over_and_undersampling.html
    - text: ROC Analysis and Performance Curves
      href: articles/tutorial/roc_analysis.html
    - text: Multilabel Classification
      href: articles/tutorial/multilabel.html
    - text: Learning Curve Analysis
      href: articles/tutorial/learning_curve.html
    - text: Partial Dependence Plots
      href: articles/tutorial/partial_dependence.html
    - text: Classifier Calibration
      href: articles/tutorial/classifier_calibration.html
    - text: Hyperparameter Tuning Effects
      href: articles/tutorial/hyperpar_tuning_effects.html
    - text: Out-of-Bag Predictions
      href: articles/tutorial/out_of_bag_predictions.html
    - text: Handling of Spatial Data
      href: articles/tutorial/handling_of_spatial_data.html
    - text: Functional Data
      href: articles/tutorial/functional_data.html

  - text: Extending
    menu:
    - text: Create Custom Learners
      href: articles/tutorial/create_learner.html
    - text: Create Custom Measures
      href: articles/tutorial/create_measure.html
    - text: Create Imputation Methods
      href: articles/tutorial/create_imputation.html
    - text: Create Custom Filters
      href: articles/tutorial/create_filter.html

  - text: Appendix
    menu:
    - text: Function Reference
      href: reference/index.html
    - text: News
      href: news/index.html
    - text: Example Tasks
      href: articles/tutorial/example_tasks.html
    - text: Integrated Learners
      href: articles/tutorial/integrated_learners.html
    - text: Implemented Measures
      href: articles/tutorial/measures.html
    - text: Integrated Filter Methods
      href: articles/tutorial/filter_methods.html
    - text: mlr Publications
      href: articles/tutorial/mlr_publications.html
    - text: Talks, Videos and Workshops
      href: articles/tutorial/talks_videos_workshops.html

  - text: mlr-org Packages
    menu:
    - text: mlrMBO
      href: https://github.com/mlr-org/mlrMBO
    - text: mlrCPO
      href: https://github.com/mlr-org/mlrCPO
    - text: mlrHyperopt
      href: https://jakob-r.de/mlrHyperopt/index.html
    - text: OpenML
      href: https://openml.github.io/openml-r/vignettes/OpenML.html

  right:
  - icon: fa-github fa-lg
    href: https://github.com/mlr-org/mlr
  - icon: fa-slack
    href: https://mlr-org.slack.com
  - icon: fa-stack-overflow
    href: https://stackoverflow.com/questions/tagged/mlr
  - icon: fa-rss
    href: https://mlr-blog.netlify.com/