Deepboost-class: An S4 class to represent a deepboost model.

In deepboost: Deep Boosting Ensemble Modeling

Description

An S4 class to represent a deepboost model.

Slots

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

examples

data.frame with instances used for model training

model

Deepboost model as used by C code serialised to R List

classes

a vector of factors representing the classes used for classification with this model

deepboost documentation built on May 2, 2019, 8:35 a.m.