Method to perform additional boosting using a GBMFit object
- does not support further cross validation.
gbm_more(
gbm_fit_obj,
num_new_trees = 100,
data = NULL,
weights = NULL,
offset = NULL,
is_verbose = FALSE
)the input GBMFit object with additional iterations
provided for the fit.
a GBMFit object produced using
gbmt. This object describes the boosted model on
which to perform additional boosting.
a positive integer specifying how many
additional iterations to perform. This has a default value of
100.
a data.frame or matrix containing the new
values for the predictor and response variables for the additional
iterations. The names of the variables must match those appearing
in the original fit (as well as the number of rows), and this value
defaults to NULL. With a value of NULL the original
data may be used for the additional boosting, if no original or new
data is specified an error will be thrown.
an atomic vector of doubles specifying the
importance of each row of the data in the additional
iterations. If the previous data used is kept within
gbm_fit_obj; then the weights are extracted from the stored
GBMData object.
an atomic vector of doubles specifying the offset for each response value in the data used for additional boosting.
a logical specifying whether or not the additional fitting should run "noisely" with feedback on progress provided to the user.