This function predicts the class label of instances or its probability of pertaining to each class based on the distance matrix.
# S3 method for OneNN
predict(object, dists, type = "prob", ...)A model of class OneNN built with oneNN
A matrix of distances between the instances to classify (by rows) and the instances used to train the model (by column)
A string that can take two values: "class" for computing the class of
the instances or "prob" for computing the probabilities of belonging to each class.
Currently not used.
If type is equal to "class" a vector of length equal to the rows number
of matrix dists, containing the predicted labels. If type is equal
to "prob" it returns a matrix which has nrow(dists) rows and a column for every
class, where each cell represents the probability that the instance belongs to the class,
according to 1NN.