BaseBaumWelchLearning Methods |
The BaseBaumWelchLearning type exposes the following members.
Name | Description | |
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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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Name | Description | |
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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.) |