gbm (version 0.6)

predict.gbm: Predict method for GBM Model Fits

Description

Predicted values based on a generalized boosted model object

Usage

predict.gbm(object, newdata, n.trees, ...)

Arguments

object

Object of class inheriting from "gbm" (gbm.object)

newdata

Data frame in which to predict

n.trees

Number of trees used in the prediction

...

further arguments passed to or from other methods

Value

• Returns a vector of predictions on the scale of f(x). For example, for the Bernoulli loss the returned value is on the log odds scale, poisson loss on the log scale, and cox proportional hazard is on the log hazard scale.

Details

predict.gbm runs each observation in newdata through the trees described by object$trees[1:n.trees], the first n.trees in the boosting sequence. The function returns sum of the predictions from each of the trees.

See Also

gbm, gbm.object