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utiml (version 0.1.4)

predict.HOMERmodel: Predict Method for HOMER

Description

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

Usage

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

Arguments

object

Object of class 'HOMERmodel'.

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

The number of cores to parallelize the prediction. Values higher than 1 require the parallel package. (Default: options("utiml.cores", 1))

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

Hierarchy Of Multilabel classifiER (HOMER)

Examples

Run this code
# NOT RUN {
model <- homer(toyml, "RANDOM")
pred <- predict(model, toyml)
# }

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