predict.gbdt: Predict classifications from a Gradient Boosting Decision...

In jiho/soundclass: Signal classifier for sounds

Description

Predict classifications from a Gradient Boosting Decision Tree model

Usage

## S3 method for class 'gbdt'
predict(object, n.trees = object$best.iter, ...)

Arguments

object	a gbdt object, from fit.gbdt
n.trees	number of trees used in the prediction.
...	passed to predict.gbm

See Also

predict.gbm in package gbm

Examples

data(sirena)
head(sirena)
m <- fit.gbdt(x=sirena, n.trees=3, shrinkage=0.01, interaction.depth=1,
              n.cores=1)
# NB: The arguments values are caricatural here for the example to run
#     quickly enough and because the data is easy.
# NB: n.cores = 1 is necessary for examples to run on all machines. Feel
#     free to remove it and use more cores on your machine.
pred <- predict(m, newdata=sirena)
head(pred)

jiho/soundclass documentation built on June 5, 2019, 10:10 p.m.