SSLR: predict.OneNN – R documentation

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predict.OneNN

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.

SSLR

Semi-Supervised Classification, Regression and Clustering Methods

v0.9.3.1

GPL-3

Authors

Francisco Jesús Palomares Alabarce [aut, cre] (<https://orcid.org/0000-0002-0499-7034>), José Manuel Benítez [ctb] (<https://orcid.org/0000-0002-2346-0793>), Isaac Triguero [ctb] (<https://orcid.org/0000-0002-0150-0651>), Christoph Bergmeir [ctb] (<https://orcid.org/0000-0002-3665-9021>), Mabel González [ctb] (<https://orcid.org/0000-0003-0152-444X>)

Initial release