Usage
deepboost.train(object, data, tree_depth, num_iter, beta, lambda, loss_type, verbose, classes)
Arguments
object
A Deepboost S4 class object
data
input data.frame as training for model
tree_depth
maximum depth for a single decision tree in the model
num_iter
number of iterations = number of trees in ensemble
beta
regularisation for scores (L1)
lambda
regularisation for tree depth
loss_type
- "l" logistic, "e" exponential
verbose
- print extra data while training TRUE / FALSE
classes
a vector of factors representing the classes used for classification with this model