predict.boosted

a <code>boosted</code> model returned from <a rd-options="" href="/link/fitBoosted?package=DidacticBoost&version=0.1.1" data-mini-rdoc="DidacticBoost::fitBoosted">fitBoosted</a>

object

the new independent variables to use for prediction. This should be a data frame.

newdata

additional arguments affecting the predictions produced (ignored).


Apply a fitted <code>boosted</code> model to newdata to form predictions. If no <code>newdata</code> is included, returned the fitted values of the model.


A basic, clear implementation of tree-based gradient boosting
designed to illustrate the core operation of boosting models. Tuning
parameters (such as stochastic subsampling, modified learning rate, or
regularization) are not implemented. The only adjustable parameter is the
number of training rounds. If you are looking for a high performance boosting
implementation with tuning parameters, consider the 'xgboost' package.

predict.boosted: Model Predictions

Description

Usage

Arguments

Value