The MinimumMeanDistanceClassifier type exposes the following members.
Gets or sets the distance function to be used when comparing a sample to a class mean.
Gets or sets the class means to which samples will be compared against.
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 a cancellation token that can be used to stop the learning algorithm while it is running.