predict.COREG

Self-training model built with the <code><a rd-options="" href="/link/COREG?package=SSLR&version=0.9.1" data-mini-rdoc="SSLR::COREG">COREG</a></code> function.

object

of predict in principal model (numeric)

type

This parameter is included for compatibility reasons.

Predicts the label of instances according to the <code>COREG</code> model.

Providing a collection of techniques for semi-supervised
classification and regression. In semi-supervised problem, both labeled and unlabeled
data are used to train a classifier. The package includes a collection of
semi-supervised learning techniques: self-training, co-training, democratic,
decision tree, random forest, 'S3VM' ... etc, with a fairly intuitive interface
that is easy to use.

Francisco Jes<c3><ba>s Palomares Alabarce

SSLR

Semi-Supervised Classification and Regression Methods

Jos<c3><a9> Manuel Ben<c3><ad>tez

Isaac Triguero

Christoph Bergmeir

Mabel Gonz<c3><a1>lez

predict.COREG function

Self-training model built with the <code><a rd-options='' href='COREG'>COREG</a></code> function.

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predict.COREG: Predictions of the COREG method

Description

Usage

Arguments

Value

Details