SupportVectorReduction Properties |
The SupportVectorReduction type exposes the following members.
Name | Description | |
---|---|---|
Input |
Gets or sets the input vectors for training.
(Inherited from BaseSupportVectorCalibrationTModel, TKernel, TInput.) | |
IsLinear |
Gets whether the machine being learned is linear.
(Inherited from BaseSupportVectorCalibrationTModel, TKernel, TInput.) | |
Kernel |
Gets the machine's IKernel function.
(Inherited from BaseSupportVectorCalibrationTModel, TKernel, TInput.) | |
Model |
Gets the machine to be taught.
(Inherited from BaseSupportVectorCalibrationTModel, TKernel, TInput.) | |
Output |
Gets or sets the output labels for each training vector.
(Inherited from BaseSupportVectorCalibrationTModel, TKernel, TInput.) | |
Threshold |
Gets or sets the minimum threshold that is used to determine
whether a weight will be kept in the machine or not. Default
is 1e-12.
(Inherited from SupportVectorReductionBaseTModel, TKernel, TInput.) | |
Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
(Inherited from BaseSupportVectorCalibrationTModel, TKernel, TInput.) |