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BaseBaumWelchLearning Class |
Note: This API is now obsolete.
Inheritance HierarchyAccord.Statistics.Models.Markov.LearningBaseBaumWelchLearning
Accord.Statistics.Models.Markov.LearningBaumWelchLearningTDistribution
Namespace: Accord.Statistics.Models.Markov.Learning
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax[ObsoleteAttribute("This class will be removed")] public abstract class BaseBaumWelchLearning : IConvergenceLearning
The BaseBaumWelchLearning type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | BaseBaumWelchLearning |
Initializes a new instance of the BaseBaumWelchLearning class.
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Properties| Name | Description | |
|---|---|---|
 | CurrentIteration |
Gets or sets the number of performed iterations.
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| HasConverged |
Gets or sets whether the algorithm has converged.
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| Iterations | Obsolete.
Please use MaxIterations instead.
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| LogGamma |
Gets the Gamma matrix of log probabilities created during
the last iteration of the Baum-Welch learning algorithm.
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| LogKsi |
Gets the Ksi matrix of log probabilities created during
the last iteration of the Baum-Welch learning algorithm.
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| LogWeights |
Gets the sample weights in the last iteration of the
Baum-Welch learning algorithm.
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| MaxIterations |
Gets or sets the maximum number of iterations
performed by the learning algorithm.
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| Tolerance |
Gets or sets the maximum change in the average log-likelihood
after an iteration of the algorithm used to detect convergence.
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Methods| Name | Description | |
|---|---|---|
| ComputeForwardBackward |
Computes the forward and backward probabilities matrices
for a given observation referenced by its index in the
input training data.
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| ComputeKsi |
Computes the ksi matrix of probabilities for a given observation
referenced by its index in the input training data.
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 | 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.) |
| Run(Array) |
Runs the Baum-Welch learning algorithm for hidden Markov models.
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| Run(Array, Double) |
Runs the Baum-Welch learning algorithm for hidden Markov models.
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| ToString | Returns a string that represents the current object. (Inherited from Object.) |
| UpdateEmissions |
Updates the emission probability matrix.
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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.) |
RemarksThis class uses a template method pattern so specialized classes can be written for each kind of hidden Markov model emission density (either discrete or continuous). The methods UpdateEmissions, ComputeForwardBackward(Int32, Double, Double) and ComputeKsi(Int32, Double, Double) should be overridden by inheriting classes to specify how those probabilities should be computed for the density being modeled.
For the actual Baum-Welch classes, please refer to BaumWelchLearning or BaumWelchLearningTDistribution. For other kinds of algorithms, please see ViterbiLearning and MaximumLikelihoodLearning and their generic counter-parts.
See Also