MultilabelSupportVectorMachineTModel, TKernel, TInput Properties

Gets the total number of binary models in this one-vs-rest multi-label configuration. Should be equal to the NumberOfOutputs (number of classes).

Gets or sets the inner binary classifiers used to distinguish between each class and all other classes.

Gets or sets the MultilabelProbabilityMethod that should be used when computing probabilities using the Probabilities(TInput) and related methods.

Gets or sets the binary classifiers that have been trained to distinguish between each class and all other classes.

Gets the number of classes expected and recognized by the classifier.

Gets the number of inputs accepted by the model.

Gets the number of outputs generated by the model.

Gets or sets the parallelization options used when deciding the class of a new sample.

Gets the total number of support vectors in the entire multi-label machine.

Gets the number of shared support vectors in the multi-label machine.

Gets the number of unique support vectors in the multi-label machine.