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BaseOneclassSupportVectorLearningTModel, TKernel, TInput Properties |
The BaseOneclassSupportVectorLearningTModel, TKernel, TInput generic type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Kernel |
Gets or sets the kernel function use to create a
kernel Support Vector Machine. If this property
is set, UseKernelEstimation will be
set to false.
|
| Lagrange |
Gets the value for the Lagrange multipliers
(alpha) for every observation vector.
|
| Model |
Gets or sets the classifier being learned.
|
| Nu |
Controls the number of outliers accepted by the algorithm. This
value provides an upper bound on the fraction of training errors
and a lower bound of the fraction of support vectors. Default is 0.5
|
| Shrinking |
Gets or sets a value indicating whether to use
shrinking heuristics during learning. Default is true.
|
| Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
|
| Tolerance |
Convergence tolerance. Default value is 1e-2.
|
| UseKernelEstimation |
Gets or sets whether initial values for some kernel parameters
should be estimated from the data, if possible. Default is true.
|
See Also