# predict.gbm

From gbm v0.6
by Greg Ridgeway

##### Predict method for GBM Model Fits

Predicted values based on a generalized boosted model object

- Keywords
- models, regression

##### 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

##### 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.

##### 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.

##### See Also

*Documentation reproduced from package gbm, version 0.6, License: GPL (version 2 or newer)*

### Community examples

Looks like there are no examples yet.