Makes predictions from a shrunken GBM model.
shrink.gbm.pred(object, newdata, n.trees, lambda = rep(1, length(object$var.names)), ...)
| object | |
|---|---|
| newdata | dataset for predictions |
| n.trees | the number of trees to use |
| lambda | a vector with length equal to the number of variables containing the shrinkage parameter for each variable |
| ... | other parameters (ignored) |
A vector with length equal to the number of observations in newdata containing the predictions
This function is experimental