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MinimumMeanDistanceClassifier Properties |
The MinimumMeanDistanceClassifier type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Function |
Gets or sets the distance function to be used when comparing a sample to a class mean.
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| Means |
Gets or sets the class means to which samples will be compared against.
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| 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.) |
| Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
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See Also