predict,Deepboost-method {deepboost} | R Documentation |
Predicted values based on deepboost model object.
## S4 method for signature 'Deepboost' predict(object, newdata, type = "terms")
object |
Object of class "Deepboost" |
newdata |
takes |
type |
Type of prediction |
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).
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)))