predict.OneNN {ssc}

Model Predictions

Description

This function predicts the class label of instances or its probability of pertaining to each class based on the distance matrix.

Usage

## S3 method for class 'OneNN'
predict(object, dists, type = "prob", ...)

Arguments

object

A model of class OneNN built with oneNN

dists

A matrix of distances between the instances to classify (by rows) and the instances used to train the model (by column)

type

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.

Value

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.