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Accord.NET (logo) ProbabilisticOutputCalibration Properties

The ProbabilisticOutputCalibration type exposes the following members.

Properties
  NameDescription
Public propertyIterations
Gets or sets the maximum number of iterations. Default is 100.
(Inherited from ProbabilisticOutputCalibrationBaseTModel, TKernel, TInput.)
Public propertyModel
Gets or sets the classifier being learned.
(Inherited from BinaryLearningBaseTModel, TInput.)
Public propertyStepSize
Gets or sets the minimum step size used during line search. Default is 1e-10.
(Inherited from ProbabilisticOutputCalibrationBaseTModel, TKernel, TInput.)
Public propertyToken
Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.
(Inherited from BinaryLearningBaseTModel, TInput.)
Public propertyTolerance
Gets or sets the tolerance under which the answer must be found. Default is 1-e5.
(Inherited from ProbabilisticOutputCalibrationBaseTModel, TKernel, TInput.)
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