OneVsOneTBinary, TInput Properties
The OneVsOneTBinary, TInput generic type exposes the following members.
Gets the number of inner binary classification models used by this instance. It should correspond to (c * (c - 1)) / 2 where c is the number of classes.
Gets the pair of class indices handled by each inner binary classification model.
Gets a inner binary classification model inside this OneVsOneTBinary classifier, together with the pair of classes that it has been designed to distinguish.
Gets or sets the inner binary classification model used to distinguish between the given pair of classes.
Gets the last decision path without cloning.
Gets or sets the multi-class classification method to be used when deciding for the class of a given input vector. Default is Elimination.
Gets the inner binary classification models.
Gets the number of classes expected and recognized by the classifier.(Inherited from ClassifierBaseTInput, TClasses.)
Gets the number of inputs accepted by the model.(Inherited from TransformBaseTInput, TOutput.)
Gets the number of outputs generated by the model.(Inherited from TransformBaseTInput, TOutput.)
Gets or sets the parallelization options for this algorithm.
Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.
Gets or sets whether to track the decision path associated with each decision. The track will be available through the GetLastDecisionPath method. Default is true.