This function predicts values based on Generalized k-Nearest Neighbours model objects.
Usage
forecast_by_gknn(
object,
newx,
type = c("response", "class", "prob", "votes"),
newoffset,
...,
target = 2L
)Arguments
- object
an object of class Trained
- newx
the new values at which prediction are to be made
- type
character specifying the type of prediction. Three options are available
"response"predicted values are on the same scale as the outcome, e.g. for binomial the returned values are classes, for gaussian the expected values
"class"the class labels corresponding to the max probability
"prob"the class distribution
"votes"the raw counts for each class
- newoffset
currently not used
- ...
further arguments to
predict.gknn- target
(optional) integer, index of the target class. If provided, only the prediction for the selected class are returned (default to second level of factor response). Set to
NULLto return all classes