Update parameter in custom xgboost model

# S3 method for class 'xgboost_multistep'
update(
  object,
  parameters = NULL,
  mtry = NULL,
  trees = NULL,
  min_n = NULL,
  tree_depth = NULL,
  learn_rate = NULL,
  loss_reduction = NULL,
  sample_size = NULL,
  stop_iter = NULL,
  lag_periods = NULL,
  external_regressors = NULL,
  forecast_horizon = NULL,
  selected_features = NULL,
  fresh = FALSE,
  ...
)

Arguments

object: model object
parameters: parameters
mtry: mtry
trees: trees
min_n: min_n
tree_depth: tree depth
learn_rate: learn rate
loss_reduction: loss reduction
sample_size: number for the number (or proportion) of data that is exposed to the fitting routine.
stop_iter: The number of iterations without improvement before stopping
lag_periods: lag periods
external_regressors: external regressors
forecast_horizon: forecast horizon
selected_features: selected features
fresh: fresh
...: extra args passed to xgboost

Value

Updated model