Learn R Programming

utiml (version 0.1.4)

predict.MLKNNmodel: Predict Method for ML-KNN

Description

This function predicts values based upon a model trained by mlknn. '

Usage

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

Arguments

object

Object of class 'MLKNNmodel'.

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))

...

Not used.

cores

Ignored because this method does not support multi-core.

seed

Ignored because this method is deterministic.

Value

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

See Also

ML-KNN

Examples

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

Run the code above in your browser using DataLab