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              HiddenGradientDescentLearningT Methods | 
          
The HiddenGradientDescentLearningT generic type exposes the following members.
| Name | Description | |
|---|---|---|
| Create | 
              Creates an instance of the model to be learned. Inheritors of this abstract 
              class must define this method so new models can be created from the training data.
              (Inherited from BaseHiddenConditionalRandomFieldLearningT.) | |
| Dispose | 
              Performs application-defined tasks associated with freeing,
              releasing, or resetting unmanaged resources.
              | |
| Dispose(Boolean) | 
              Releases unmanaged and - optionally - managed resources
              | |
| Equals | Determines whether the specified object is equal to the current object.  (Inherited from Object.) | |
| Finalize | 
              Releases unmanaged resources and performs other cleanup operations before
              the ForwardBackwardGradientT is reclaimed by garbage
              collection.
              (Overrides ObjectFinalize.) | |
| GetHashCode | Serves as the default hash function.   (Inherited from Object.) | |
| GetType | Gets the Type of the current instance.  (Inherited from Object.) | |
| InnerRun | 
              Runs the learning algorithm.
              (Overrides BaseHiddenConditionalRandomFieldLearningTInnerRun(T, Int32).) | |
| Learn | 
            Learns a model that can map the given inputs to the given outputs.
              (Inherited from BaseHiddenConditionalRandomFieldLearningT.) | |
| MemberwiseClone | Creates a shallow copy of the current Object.  (Inherited from Object.) | |
| OnProgressChanged | 
              Raises the [E:ProgressChanged] event.
              | |
| Reset | 
              Resets the step size.
              | |
| Run(T, Int32) | 
              Runs one iteration of the learning algorithm with the
              specified input training observation and corresponding
              output label.
              | |
| Run(T, Int32) |  Obsolete.  
              Runs the learning algorithm with the specified input
              training observations and corresponding output labels.
              | |
| RunEpoch | 
              Runs the learning algorithm with the specified input
              training observations and corresponding output labels.
              | |
| ToString | Returns a string that represents the current object.  (Inherited from Object.) | 
| Name | Description | |
|---|---|---|
| HasMethod | 
              Checks whether an object implements a method with the given name.
              (Defined by ExtensionMethods.) | |
| IsEqual | 
                Compares two objects for equality, performing an elementwise 
                comparison if the elements are vectors or matrices.
              (Defined by Matrix.) | |
| To(Type) | Overloaded.   
              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.) | |
| ToT | Overloaded.   
              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.) |