utiml (version 0.1.4)

predict.PPTmodel: Predict Method for Pruned Problem Transformation

Description

This function predicts values based upon a model trained by ppt.

Usage

# S3 method for PPTmodel
predict(object, newdata,
  probability = getOption("utiml.use.probs", TRUE), ...,
  cores = getOption("utiml.cores", 1), seed = getOption("utiml.seed", NA))

Arguments

object

Object of class 'PPTmodel'.

newdata

An object containing the new input data. This must be a matrix, data.frame or a mldr object.

probability

Logical indicating whether class probabilities should be returned. (Default: getOption("utiml.use.probs", TRUE))

...

Others arguments passed to the base algorithm prediction for all subproblems.

cores

Not used

seed

An optional integer used to set the seed. (Default: options("utiml.seed", NA))

Value

An object of type mlresult, based on the parameter probability.

See Also

Pruned Problem Transformation (PPT)

Examples

# NOT RUN {
model <- ppt(toyml, "RANDOM")
pred <- predict(model, toyml)
# }