MLPUGS-package {MLPUGS} | R Documentation |
MLPUGS: Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)
Description
An implementation of classifier chains for binary and probabilistic multi-label prediction. The classification pipeline consists of:
Training an ensemble of classifier chains. Each chain is a binary classifier (built-in, supplied from an external package or user-coded).
Making predictions using a Gibbs sampler since each unobserved label is conditioned on the others.
(Optional) Evaluating the ECC.
Gathering predictions (aggregating across iterations & models).
To learn more about MLPUGS, start with the vignettes: browseVignettes(package = "MLPUGS")
[Package MLPUGS version 0.2.0 Index]