deepboost.train: Trains a deepboost model

In deepboost: Deep Boosting Ensemble Modeling

Description

Trains a deepboost model

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

Details

(beta,lambda) = (0,0) - adaboost, (>0,0) - L1, (0,>0) deepboost, (>0, >0) deepbost+L1

Value

A trained Deepbost model

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