_pkgdown.yml

url: https://parsnip.tidymodels.org/

navbar:
  components:
    home: ~
    tutorials:
      text: Learn more
      menu:
      - text: "Regression modeling"
        href: https://www.tidymodels.org/learn/models/parsnip-ranger-glmnet/
      - text: "Classification modeling"
        href: https://www.tidymodels.org/learn/models/parsnip-nnet/
      - text: "Making a parsnip model from scratch"
        href: https://www.tidymodels.org/learn/develop/models/

template:
  package: tidytemplate
  bootstrap: 5
  bslib:
    primary: "#CA225E"

  includes:
      in_header: |
        <script defer data-domain="parsnip.tidymodels.org,all.tidymodels.org" src="https://plausible.io/js/plausible.js"></script>

development:
  mode: auto

figures:
  fig.width: 8
  fig.height: 5.75

reference:
  - title: Models
    contents:
      - auto_ml
      - bag_mars
      - bag_mlp
      - bag_tree
      - bart
      - boost_tree
      - cubist_rules
      - C5_rules
      - decision_tree
      - discrim_flexible
      - discrim_linear
      - discrim_quad
      - discrim_regularized
      - gen_additive_mod
      - glm_grouped
      - linear_reg
      - logistic_reg
      - mars
      - mlp
      - multinom_reg
      - naive_Bayes
      - nearest_neighbor
      - null_model
      - pls
      - poisson_reg
      - proportional_hazards
      - rand_forest
      - rule_fit
      - survival_reg
      - svm_linear
      - svm_poly
      - svm_rbf
  - title: Infrastructure
    contents:
      - autoplot.model_fit
      - add_rowindex
      - augment.model_fit
      - case_weights
      - case_weights_allowed
      - descriptors
      - extract-parsnip
      - fit.model_spec
      - fit_xy
      - control_parsnip
      - glance.model_fit
      - matrix_to_quantile_pred
      - model_fit
      - model_formula
      - model_spec
      - multi_predict
      - parsnip_addin
      - predict.model_fit
      - reexports
      - repair_call
      - set_args
      - set_engine
      - set_mode
      - show_engines
      - sparse_data
      - tidy.model_fit
      - translate
      - starts_with("update")
      - matches("_train")

  - title: Developer tools
    contents:
      - condense_control
      - contr_one_hot
      - set_new_model
      - maybe_matrix
      - min_cols
      - max_mtry_formula
      - required_pkgs
      - required_pkgs.model_spec
      - req_pkgs
      - .extract_surv_status
      - .extract_surv_time
      - .model_param_name_key