boost_control {mboost} | R Documentation |
Definition of the initial number of boosting iterations, step size and other hyper-parameters for boosting algorithms.
boost_control(mstop = 100, nu = 0.1, risk = c("inbag", "oobag", "none"), center = TRUE, trace = FALSE)
mstop |
an integer giving the number of initial boosting iterations. |
nu |
a double (between 0 and 1) defining the step size or shrinkage parameter.
The default is probably too large for many applications
with |
risk |
a character indicating how the empirical risk should be
computed for each boosting iteration. |
center |
deprecated. A logical indicating if the numerical covariates should be mean
centered before fitting. Only implemented for
|
trace |
a logical triggering printout of status information during the fitting process. |
Objects returned by this function specify hyper-parameters of the
boosting algorithms implemented in glmboost
,
gamboost
and blackboost
(via the control
argument).
An object of class boost_control
, a list.