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ProbabilisticOutputCalibration Properties |
The ProbabilisticOutputCalibration type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Iterations |
Gets or sets the maximum number of
iterations. Default is 100.
(Inherited from ProbabilisticOutputCalibrationBaseTModel, TKernel, TInput.) |
| Model |
Gets or sets the classifier being learned.
(Inherited from BinaryLearningBaseTModel, TInput.) |
| StepSize |
Gets or sets the minimum step size used
during line search. Default is 1e-10.
(Inherited from ProbabilisticOutputCalibrationBaseTModel, TKernel, TInput.) |
| Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
(Inherited from BinaryLearningBaseTModel, TInput.) |
| Tolerance |
Gets or sets the tolerance under which the
answer must be found. Default is 1-e5.
(Inherited from ProbabilisticOutputCalibrationBaseTModel, TKernel, TInput.) |
See Also