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BaseHiddenMarkovClassifierLearningTClassifier, TModel Class |
Abstract base class for Sequence Classifier learning algorithms.
Inheritance HierarchySystemObject
Accord.Statistics.Models.Markov.LearningBaseHiddenMarkovClassifierLearningTClassifier, TModel
Accord.Statistics.Models.Markov.LearningHiddenMarkovClassifierLearningTDistribution
Accord.Statistics.Models.Markov.LearningBaseHiddenMarkovClassifierLearningTClassifier, TModel
Accord.Statistics.Models.Markov.LearningHiddenMarkovClassifierLearningTDistribution
Namespace: Accord.Statistics.Models.Markov.Learning
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntaxpublic abstract class BaseHiddenMarkovClassifierLearning<TClassifier, TModel> where TClassifier : BaseHiddenMarkovClassifier<TModel> where TModel : IHiddenMarkovModel
Type Parameters
- TClassifier
- TModel
The BaseHiddenMarkovClassifierLearningTClassifier, TModel type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | BaseHiddenMarkovClassifierLearningTClassifier, TModel(TClassifier) |
Creates a new instance of the learning algorithm for a given
Markov sequence classifier.
|
| BaseHiddenMarkovClassifierLearningTClassifier, TModel(TClassifier, ClassifierLearningAlgorithmConfiguration) | Obsolete.
Creates a new instance of the learning algorithm for a given
Markov sequence classifier using the specified configuration
function.
|
Properties| Name | Description | |
|---|---|---|
 | Algorithm |
Gets or sets the configuration function specifying which
training algorithm should be used for each of the models
in the hidden Markov model set.
|
| Classifier |
Gets the classifier being trained by this instance.
|
| Empirical |
Gets or sets a value indicating whether the class priors
should be estimated from the data, as in an empirical Bayes method.
|
| Rejection |
Gets or sets a value indicating whether a threshold model
should be created or updated after training to support rejection.
|
Methods| Name | Description | |
|---|---|---|
| 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.
|
 | 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.) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| OnGenerativeClassModelLearningFinished |
Raises the [E:GenerativeClassModelLearningFinished] event.
|
| OnGenerativeClassModelLearningStarted |
Raises the [E:GenerativeClassModelLearningStarted] event.
|
| RunT | Obsolete.
Trains each model to recognize each of the output labels.
|
| Threshold |
Creates a new threshold model
for the current set of Markov models in this sequence classifier.
|
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
Events| Name | Description | |
|---|---|---|
 | ClassModelLearningFinished |
Occurs when the learning of a class model has finished.
|
| ClassModelLearningStarted |
Occurs when the learning of a class model has started.
|
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