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message: 'To cite package "MLPUGS" in publications use:'
type: software
license: MIT
title: 'MLPUGS: Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)'
version: 0.2.0
doi: 10.32614/CRAN.package.MLPUGS
abstract: An implementation of classifier chains (CC's) for multi-label prediction.
  Users can employ an external package (e.g. 'randomForest', 'C50'), or supply their
  own. The package can train a single set of CC's or train an ensemble of CC's --
  in parallel if running in a multi-core environment. New observations are classified
  using a Gibbs sampler since each unobserved label is conditioned on the others.
  The package includes methods for evaluating the predictions for accuracy and aggregating
  across iterations and models to produce binary or probabilistic classifications.
authors:
- family-names: Popov
  given-names: Mikhail
  email: mikhail@mpopov.com
repository: https://bearloga.r-universe.dev
repository-code: https://github.com/bearloga/MLPUGS
commit: 4737d1d72f8e12827472222ee39c4de59969aaae
url: https://github.com/bearloga/MLPUGS
date-released: '2016-07-05'
contact:
- family-names: Popov
  given-names: Mikhail
  email: mikhail@mpopov.com