gb_classifier_update

<code>gb_classifier_update()</code> grows additional trees in gradient tree
boosting ensemble.

A tool that improves the prediction performance of multilevel
regression with post-stratification (MrP) by combining a number of machine
learning methods. For information on the method, please refer to Broniecki,
Wüest, Leemann (2020) ''Improving Multilevel Regression with
Post-Stratification Through Machine Learning (autoMrP)'' in the
'Journal of Politics'. Final pre-print version:
<https://lucasleemann.files.wordpress.com/2020/07/automrp-r2pa.pdf>.

Philipp Broniecki

autoMrP

Improving MrP with Ensemble Learning

Reto Wüest

Lucas Leemann

Florian Schaffner

Hadley Wickham

gb_classifier_update function

<dl><dt>object</dt>
<dd>Gradient tree boosting output. A gbm object.</dd>
<dt>n.new.trees</dt>
<dd>Number of additional trees to grow. A numeric scalar.</dd>
<dt>verbose</dt>
<dd>Verbose output. A logical vector indicating whether or not
verbose output should be printed.</dd></dl>

Arguments

GB classifier update — gb_classifier_update

<dl>

<dt>object</dt>
<dd>Gradient tree boosting output. A gbm object.</dd>


<dt>n.new.trees</dt>
<dd>Number of additional trees to grow. A numeric scalar.</dd>


<dt>verbose</dt>
<dd>Verbose output. A logical vector indicating whether or not
verbose output should be printed.</dd>

</dl>

gb_classifier_update: GB classifier update

Description

Usage

Value

Arguments