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This function predicts values based upon a model trained by homer.
homer
# S3 method for HOMERmodel predict(object, newdata, probability = getOption("utiml.use.probs", TRUE), ..., cores = getOption("utiml.cores", 1), seed = getOption("utiml.seed", NA))
Object of class 'HOMERmodel'.
HOMERmodel
An object containing the new input data. This must be a matrix, data.frame or a mldr object.
Logical indicating whether class probabilities should be returned. (Default: getOption("utiml.use.probs", TRUE))
getOption("utiml.use.probs", TRUE)
Others arguments passed to the base algorithm prediction for all subproblems.
The number of cores to parallelize the prediction. Values higher than 1 require the parallel package. (Default: options("utiml.cores", 1))
options("utiml.cores", 1)
An optional integer used to set the seed. (Default: options("utiml.seed", NA))
options("utiml.seed", NA)
An object of type mlresult, based on the parameter probability.
Hierarchy Of Multilabel classifiER (HOMER)
# NOT RUN { model <- homer(toyml, "RANDOM") pred <- predict(model, toyml) # }
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