boost_tree-tunable.md
In parsnip: A Common API to Modeling and Analysis Functions

tunable parameters for boost_tree + xgboost

Code
  display_tunable_call_info(set_engine(boost_tree(), "xgboost"))
Output
  tree_depth                | pkg: dials, fun: tree_depth | main
  trees                     | pkg: dials, fun: trees | main
  learn_rate                | pkg: dials, fun: learn_rate, range: c(-3.00, -0.50) | main
  mtry                      | pkg: dials, fun: mtry | main
  min_n                     | pkg: dials, fun: min_n | main
  loss_reduction            | pkg: dials, fun: loss_reduction | main
  sample_size               | pkg: dials, fun: sample_prop, range: c(0.50, 1.00) | main
  stop_iter                 | pkg: dials, fun: stop_iter | main
  alpha                     | pkg: dials, fun: penalty_L1 | engine
  lambda                    | pkg: dials, fun: penalty_L2 | engine
  scale_pos_weight          | pkg: dials, fun: scale_pos_weight | engine

tunable parameters for boost_tree + C5.0

Code
  display_tunable_call_info(set_engine(boost_tree(), "C5.0"))
Output
  trees                     | pkg: dials, fun: trees, range: c(  1.00, 100.00) | main
  min_n                     | pkg: dials, fun: min_n | main
  sample_size               | pkg: dials, fun: sample_prop, range: c(0.50, 1.00) | main
  CF                        | pkg: dials, fun: confidence_factor | engine
  noGlobalPruning           | pkg: dials, fun: no_global_pruning | engine
  winnow                    | pkg: dials, fun: predictor_winnowing | engine
  fuzzyThreshold            | pkg: dials, fun: fuzzy_thresholding | engine
  bands                     | pkg: dials, fun: rule_bands | engine

tunable parameters for boost_tree + spark

Code
  display_tunable_call_info(set_engine(boost_tree(), "spark"))
Output
  tree_depth                | pkg: dials, fun: tree_depth | main
  trees                     | pkg: dials, fun: trees | main
  learn_rate                | pkg: dials, fun: learn_rate | main
  mtry                      | pkg: dials, fun: mtry | main
  min_n                     | pkg: dials, fun: min_n | main
  loss_reduction            | pkg: dials, fun: loss_reduction | main
  sample_size               | pkg: dials, fun: sample_size | main

tunable parameters for boost_tree + lightgbm

Code
  display_tunable_call_info(set_engine(boost_tree(), "lightgbm"))
Output
  num_leaves                | pkg: dials, fun: num_leaves | engine

tunable parameters for boost_tree + catboost

Code
  display_tunable_call_info(set_engine(boost_tree(), "catboost"))
Output
  max_leaves                | pkg: dials, fun: num_leaves | engine
  l2_leaf_reg               | pkg: dials, fun: penalty, range: c(-4.00,  1.00) | engine