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BaumWelchLearningTDistribution Class |
Note: This API is now obsolete.
Obsolete. Please use BaumWelchLearningTDistribution, TObservation instead.
Inheritance HierarchySystemObject
Accord.Statistics.Models.Markov.LearningBaseBaumWelchLearning
Accord.Statistics.Models.Markov.LearningBaumWelchLearningTDistribution
Accord.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("Please use BaumWelchLearning<TDistribution, TObservation> instead.")] public class BaumWelchLearning<TDistribution> : BaseBaumWelchLearning, IUnsupervisedLearning, IConvergenceLearning where TDistribution : IDistribution
Type Parameters
- TDistribution
The BaumWelchLearningTDistribution type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | BaumWelchLearningTDistribution |
Creates a new instance of the Baum-Welch learning algorithm.
|
Properties| Name | Description | |
|---|---|---|
 | CurrentIteration |
Gets or sets the number of performed iterations.
(Inherited from BaseBaumWelchLearning.) |
| FittingOptions |
Gets or sets the distribution fitting options
to use when estimating distribution densities
during learning.
|
| HasConverged |
Gets or sets whether the algorithm has converged.
(Inherited from BaseBaumWelchLearning.) |
| Iterations | Obsolete.
Please use MaxIterations instead.
(Inherited from BaseBaumWelchLearning.) |
| LogGamma |
Gets the Gamma matrix of log probabilities created during
the last iteration of the Baum-Welch learning algorithm.
(Inherited from BaseBaumWelchLearning.) |
| LogKsi |
Gets the Ksi matrix of log probabilities created during
the last iteration of the Baum-Welch learning algorithm.
(Inherited from BaseBaumWelchLearning.) |
| LogWeights |
Gets the sample weights in the last iteration of the
Baum-Welch learning algorithm.
(Inherited from BaseBaumWelchLearning.) |
| MaxIterations |
Gets or sets the maximum number of iterations
performed by the learning algorithm.
(Inherited from BaseBaumWelchLearning.) |
| Model |
Gets the model being trained.
|
| Tolerance |
Gets or sets the maximum change in the average log-likelihood
after an iteration of the algorithm used to detect convergence.
(Inherited from BaseBaumWelchLearning.) |
Methods| Name | Description | |
|---|---|---|
 | ComputeForwardBackward |
Computes the forward and backward probabilities matrices
for a given observation referenced by its index in the
input training data.
(Overrides BaseBaumWelchLearningComputeForwardBackward(Int32, Double, Double).) |
| ComputeKsi |
Computes the ksi matrix of probabilities for a given observation
referenced by its index in the input training data.
(Overrides BaseBaumWelchLearningComputeKsi(Int32, Double, Double).) |
| 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.
|
| Run(Array, Double) |
Runs the Baum-Welch learning algorithm for hidden Markov models.
(Inherited from BaseBaumWelchLearning.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
| UpdateEmissions |
Updates the emission probability matrix.
(Overrides BaseBaumWelchLearningUpdateEmissions.) |
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