public class QuasiNewtonLearning<T> : ISupervisedLearning<ConditionalRandomField<T>, T, int>, IConditionalRandomFieldLearning<T>
Public Class QuasiNewtonLearning(Of T) Implements ISupervisedLearning(Of ConditionalRandomField(Of T), T(), Integer()), IConditionalRandomFieldLearning(Of T)
Thetype exposes the following members.
Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.
Determines whether the specified object is equal to the current object.(Inherited from .)
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.(Inherited from .)
Serves as the default hash function.(Inherited from .)
Gets the(Inherited from of the current instance. .)
Learns a model that can map the given inputs to the given outputs.
Creates a shallow copy of the current(Inherited from . .)
|Run|| Obsolete. |
Runs the learning algorithm with the specified input training observations and corresponding output labels.
Returns a string that represents the current object.(Inherited from .)
Checks whether an object implements a method with the given name.(Defined by ExtensionMethods.)
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.(Defined by ExtensionMethods.)