predict.OneNN: Model Predictions

In ssc: Semi-Supervised Classification Methods

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.

ssc documentation built on Dec. 16, 2019, 1:26 a.m.