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HiddenMarkovClassifierLearning Methods |
The HiddenMarkovClassifierLearning type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | ComputeError |
Compute model error for a given data set.
|
 | 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.
(Overrides BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservationCreate(TObservation, Int32, Int32).) |
| CreateThresholdTopology |
Creates the state transition topology for the threshold model. This
method can be used to help in the implementation of the Threshold
abstract method which has to be defined for implementers of this class.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.) |
| 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.) |
| Learn |
Learns a model that can map the given inputs to the given outputs.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| OnGenerativeClassModelLearningFinished |
Raises the [E:GenerativeClassModelLearningFinished] event.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.) |
| OnGenerativeClassModelLearningStarted |
Raises the [E:GenerativeClassModelLearningStarted] event.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.) |
| Run(Int32, Int32) | Obsolete.
Trains each model to recognize each of the output labels.
|
| RunT(T, Int32) | Obsolete.
Trains each model to recognize each of the output labels.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.) |
| Threshold |
Creates a new threshold model
for the current set of Markov models in this sequence classifier.
(Overrides BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservationThreshold.) |
| 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