View source: R/multistep_xgboost.R
update.xgboost_multistep | R Documentation |
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,
...
)
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 |
Updated model
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