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HiddenQuasiNewtonLearningT Properties

The HiddenQuasiNewtonLearningT generic type exposes the following members.

Properties
  NameDescription
Public propertyCurrentIteration
Gets the current iteration number.
Public propertyFunction (Inherited from BaseHiddenConditionalRandomFieldLearningT.)
Public propertyHasConverged
Gets or sets whether the algorithm has converged.
(Inherited from BaseHiddenGradientOptimizationLearningTData, TOptimizer.)
Public propertyMaxIterations
Gets or sets the maximum number of iterations performed by the learning algorithm.
(Inherited from BaseHiddenGradientOptimizationLearningTData, TOptimizer.)
Public propertyModel
Gets or sets the model being trained.
(Inherited from BaseHiddenConditionalRandomFieldLearningT.)
Public propertyOptimizer
Gets the optimization algorithm being used.
(Inherited from BaseHiddenGradientOptimizationLearningTData, TOptimizer.)
Public propertyParallelOptions
Gets or sets the parallelization options for this algorithm.
(Inherited from BaseHiddenGradientOptimizationLearningTData, TOptimizer.)
Public propertyRegularization
Gets or sets the amount of the parameter weights which should be included in the objective function. Default is 0 (do not include regularization).
(Inherited from BaseHiddenGradientOptimizationLearningTData, TOptimizer.)
Public propertyToken
Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.
(Inherited from BaseHiddenConditionalRandomFieldLearningT.)
Public propertyTolerance
Gets or sets the tolerance value used to determine whether the algorithm has converged.
(Inherited from BaseHiddenGradientOptimizationLearningTData, TOptimizer.)
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