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ConditionalRandomFieldT Methods |
The ConditionalRandomFieldT generic type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Clone |
Creates a new object that is a copy of the current instance.
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| Compute |
Computes the most likely state labels for the given observations,
returning the overall sequence probability for this model.
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| Decide(TInput) |
Computes class-label decisions for the given input.
(Inherited from TaggerBaseTInput.) |
| Decide(TInput) |
Computes class-label decisions for the given input.
(Inherited from TaggerBaseTInput.) |
| Decide(TInput, Int32) |
Computes class-label decisions for the given input.
(Inherited from TaggerBaseTInput.) |
| Decide(T, Int32) |
Computes class-label decisions for the given input.
(Overrides TaggerBaseTInputDecide(TInput, Int32).) |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
 | Load(Stream) | Obsolete.
Loads a random field from a stream.
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| Load(String) | Obsolete.
Loads a random field from a file.
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| LogLikelihood(T, Int32) |
Computes the log-likelihood of the model for the given observations.
This method is equivalent to the HiddenMarkovModel.LogLikelihood(TObservation[], int[])
method.
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| LogLikelihood(T, Int32) |
Computes the most likely state labels for the given observations,
returning the overall sequence log-likelihood for this model.
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| LogPartition |
Computes the Log of the partition function.
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| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| Partition |
Computes the partition function, as known as Z(x),
for the specified observations.
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| Save(Stream) | Obsolete.
Saves the random field to a stream.
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| Save(String) | Obsolete.
Saves the random field to a stream.
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| ToString | Returns a string that represents the current object. (Inherited from Object.) |
| Transform(TInput) |
Applies the transformation to an input, producing an associated output.
(Inherited from TaggerBaseTInput.) |
| Transform(TInput) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from TransformBaseTInput, TOutput.) |
| Transform(TInput, TOutput) |
Applies the transformation to an input, producing an associated output.
(Inherited from TransformBaseTInput, TOutput.) |
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