|
ForwardBackwardGradientT Class |
Linear Gradient calculator class for
Hidden Conditional Random Fields.
Inheritance HierarchySystemObject
Accord.MachineLearningParallelLearningBase
Accord.Statistics.Models.Fields.LearningForwardBackwardGradientT
Accord.MachineLearningParallelLearningBase
Accord.Statistics.Models.Fields.LearningForwardBackwardGradientT
Namespace: Accord.Statistics.Models.Fields.Learning
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntaxpublic class ForwardBackwardGradient<T> : ParallelLearningBase, IHiddenRandomFieldGradient, IDisposable
Type Parameters
- T
- The type of the observations being modeled.
The ForwardBackwardGradientT type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | ForwardBackwardGradientT |
Initializes a new instance of the ForwardBackwardGradientT class.
|
| ForwardBackwardGradientT(HiddenConditionalRandomFieldT) |
Initializes a new instance of the ForwardBackwardGradientT class.
|
Properties| Name | Description | |
|---|---|---|
 | Inputs |
Gets or sets the inputs to be used in the next
call to the Objective or Gradient functions.
|
| LastError |
Gets the error computed in the last call
to the gradient or objective functions.
|
| Model |
Gets the model being trained.
|
| Outputs |
Gets or sets the outputs to be used in the next
call to the Objective or Gradient functions.
|
| ParallelOptions |
Gets or sets the parallelization options for this algorithm.
(Inherited from ParallelLearningBase.) |
| Parameters |
Gets or sets the current parameter
vector for the model being learned.
|
| Regularization |
Gets or sets the amount of the parameter weights
which should be included in the objective function.
Default is 0 (do not include regularization).
|
| Token |
Gets or sets a cancellation token that can be used
to cancel the algorithm while it is running.
(Inherited from ParallelLearningBase.) |
Methods| Name | Description | |
|---|---|---|
| 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.) |
| Gradient |
Computes the gradient using the input/outputs stored in this object.
This method is thread-safe.
|
| Gradient(Double) |
Computes the gradient using the input/outputs stored in this object.
This method is not thread safe.
|
| Gradient(Double, T, Int32) |
Computes the gradient (vector of derivatives) vector for
the cost function, which may be used to guide optimization.
|
| Gradient(Double, T, Int32) |
Computes the gradient (vector of derivatives) vector for
the cost function, which may be used to guide optimization.
|
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| Objective |
Computes the objective (cost) function for the Hidden
Conditional Random Field (negative log-likelihood) using
the input/outputs stored in this object.
|
| Objective(Double) |
Computes the objective (cost) function for the Hidden
Conditional Random Field (negative log-likelihood) using
the input/outputs stored in this object.
|
| Objective(Double, T, Int32) |
Computes the objective (cost) function for the Hidden
Conditional Random Field (negative log-likelihood).
|
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
Extension Methods| 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.) |
See Also