couple is used to link class-probability estimates produced by
pairwise coupling in multi-class classification problems.
couple(probin, coupler = "minpair")
The pairwise coupled class-probability estimates
The type of coupler to use. Currently
As binary classification problems are much easier to solve many techniques exist to decompose multi-class classification problems into many binary classification problems (voting, error codes, etc.). Pairwise coupling (one against one) constructs a rule for discriminating between every pair of classes and then selecting the class with the most winning two-class decisions. By using Platt's probabilities output for SVM one can get a class probability for each of the k(k-1)/2 models created in the pairwise classification. The couple method implements various techniques to combine these probabilities.
A matrix with the resulting probability estimates.
Ting-Fan Wu, Chih-Jen Lin, ruby C. Weng
Probability Estimates for Multi-class Classification by Pairwise Coupling
Neural Information Processing Symposium 2003
## create artificial pairwise probabilities pairs <- matrix(c(0.82,0.12,0.76,0.1,0.9,0.05),2) couple(pairs) couple(pairs, coupler="pkpd") couple(pairs, coupler ="vote")
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