| predict.Rcpp_ENSEMBLE {agtboost} | R Documentation |
predict is an interface for predicting from a agtboost model.
## S3 method for class 'Rcpp_ENSEMBLE' predict(object, newdata, ...)
object |
Object or pointer to object of class |
newdata |
Design matrix of data to be predicted. Type |
... |
additional parameters passed. Currently not in use. |
The prediction function for agtboost.
Using the generic predict function in R is also possible, using the same arguments.
For regression or binary classification, it returns a vector of length nrows(newdata).
Berent Ånund Strømnes Lunde, Tore Selland Kleppe and Hans Julius Skaug, "An Information Criterion for Automatic Gradient Tree Boosting", 2020, https://arxiv.org/abs/2008.05926
## A simple gtb.train example with linear regression: x <- runif(500, 0, 4) y <- rnorm(500, x, 1) x.test <- runif(500, 0, 4) y.test <- rnorm(500, x.test, 1) mod <- gbt.train(y, as.matrix(x)) ## predict is overloaded y.pred <- predict( mod, as.matrix( x.test ) ) plot(x.test, y.test) points(x.test, y.pred, col="red")