|
KNearestNeighbors Properties |
The KNearestNeighbors type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | ClassCount | Obsolete.
Gets the number of class labels
handled by this classifier.
|
| Distance |
Gets or sets the distance function used
as a distance metric between data points.
(Inherited from BaseKNearestNeighborsTModel, TInput, TDistance.) |
| Inputs |
Gets the set of points given
as input of the algorithm.
(Inherited from BaseKNearestNeighborsTModel, TInput, TDistance.) |
| K |
Gets or sets the number of nearest neighbors to be used
in the decision. Default is 5.
(Inherited from BaseKNearestNeighborsTModel, TInput, TDistance.) |
| NumberOfClasses |
Gets the number of classes expected and recognized by the classifier.
(Inherited from ClassifierBaseTInput, TClasses.) |
| NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.) |
| NumberOfOutputs |
Gets the number of outputs generated by the model.
(Inherited from TransformBaseTInput, TOutput.) |
| Outputs |
Gets the set of labels associated
with each Inputs point.
(Inherited from BaseKNearestNeighborsTModel, TInput, TDistance.) |
| Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
(Inherited from BaseKNearestNeighborsTModel, TInput, TDistance.) |
See Also