predict,Deepboost-method {deepboost}R Documentation

Predict method for Deepboost model

Description

Predicted values based on deepboost model object.

Usage

## S4 method for signature 'Deepboost'
predict(object, newdata, type = "terms")

Arguments

object

Object of class "Deepboost"

newdata

takes data.frame.

type

Type of prediction

Details

The option ntreelimit purpose is to let the user train a model with lots of trees but use only the first trees for prediction to avoid overfitting (without having to train a new model with less trees).

Examples

dpb <- deepboost(y ~ .,
 data.frame(x1=rep(c(0,0,1,1),2),x2=rep(c(0,1,0,1),2),y=factor(rep(c(0,0,0,1),2))),
 num_iter=2,tree_depth=2)
predict(dpb,data.frame(x1=rep(c(1,1,1,0),2),x2=rep(c(1,1,1,1),2)))

[Package deepboost version 0.1.6 Index]