MLPUGS

MLPUGS-package


An implementation of classifier chains for binary and probabilistic
  multi-label prediction. The classification pipeline consists of:
  <ol>
<li> Training an ensemble of classifier chains. Each chain is a binary
          classifier (built-in, supplied from an external package or user-coded).
    </li>
<li> Making predictions using a Gibbs sampler since each unobserved
          label is conditioned on the others.
    </li>
<li> (Optional) Evaluating the ECC.
    </li>
<li> Gathering predictions (aggregating across iterations & models).
  </li>
</ol><p></p><p>  To learn more about MLPUGS, start with the vignettes: <code>browseVignettes(package = "MLPUGS")</code>
</p>

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.

Mikhail Popov

Multi-Label Prediction Using Gibbs Sampling (and Classifier
Chains)

MLPUGS-package function


An implementation of classifier chains for binary and probabilistic
  multi-label prediction. The classification pipeline consists of:
  <ol>
<li> Training an ensemble of classifier chains. Each chain is a binary
          classifier (built-in, supplied from an external package or user-coded).
    </li>
<li> Making predictions using a Gibbs sampler since each unobserved
          label is conditioned on the others.
    </li>
<li> (Optional) Evaluating the ECC.
    </li>
<li> Gathering predictions (aggregating across iterations & models).
  </li>
</ol>

  To learn more about MLPUGS, start with the vignettes: <code>browseVignettes(package = "MLPUGS")</code>


MLPUGS-package: MLPUGS: Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)

Description

Arguments