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HiddenMarkovDistribution Class |
Hidden Markov Model probability distribution.
Inheritance HierarchySystemObject
Accord.Statistics.DistributionsDistributionBase
Accord.Statistics.Distributions.MultivariateMultivariateDiscreteDistribution
Accord.Statistics.Distributions.MultivariateHiddenMarkovDistribution
Accord.Statistics.DistributionsDistributionBase
Accord.Statistics.Distributions.MultivariateMultivariateDiscreteDistribution
Accord.Statistics.Distributions.MultivariateHiddenMarkovDistribution
Namespace: Accord.Statistics.Distributions.Multivariate
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
SyntaxThe HiddenMarkovDistribution type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | HiddenMarkovDistribution |
Initializes a new instance of the HiddenMarkovDistribution class.
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Properties| Name | Description | |
|---|---|---|
 | Covariance |
Gets the variance for this distribution.
(Overrides MultivariateDiscreteDistributionCovariance.) |
| Dimension |
Gets the number of variables for this distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| Mean |
Gets the mean for this distribution.
(Overrides MultivariateDiscreteDistributionMean.) |
| Median |
Gets the median for this distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| Mode |
Gets the mode for this distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| Support |
Gets the support interval for this distribution.
(Overrides MultivariateDiscreteDistributionSupport.) |
| Variance |
Gets the mean for this distribution.
(Overrides MultivariateDiscreteDistributionVariance.) |
Methods| Name | Description | |
|---|---|---|
| Clone |
Creates a new object that is a copy of the current instance.
(Overrides DistributionBaseClone.) |
| ComplementaryDistributionFunction |
Gets the complementary cumulative distribution function
(ccdf) for this distribution evaluated at point x.
This function is also known as the Survival function.
(Inherited from MultivariateDiscreteDistribution.) |
| DistributionFunction |
Gets the cumulative distribution function (cdf) for
this distribution evaluated at point x.
(Inherited from MultivariateDiscreteDistribution.) |
| 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.) |
| Fit(Double) |
Fits the underlying distribution to a given set of observations.
(Inherited from MultivariateDiscreteDistribution.) |
| Fit(Double, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Inherited from MultivariateDiscreteDistribution.) |
| Fit(Double, Double) |
Fits the underlying distribution to a given set of observations.
(Inherited from MultivariateDiscreteDistribution.) |
| Fit(Double, Int32) |
Fits the underlying distribution to a given set of observations.
(Inherited from MultivariateDiscreteDistribution.) |
| Fit(Double, Double, HiddenMarkovOptions) |
Fits the underlying distribution to a given set of observations.
|
| Fit(Double, Double, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Overrides MultivariateDiscreteDistributionFit(Double, Double, IFittingOptions).) |
| Fit(Double, Int32, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Inherited from MultivariateDiscreteDistribution.) |
| Generate |
Generates a random observation from the current distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| Generate(Double) |
Generates a random observation from the current distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| Generate(Int32) |
Generates a random vector of observations from the current distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| Generate(Int32) |
Generates a random observation from the current distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| Generate(Random) |
Generates a random observation from the current distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| Generate(Double, Random) |
Generates a random observation from the current distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| Generate(Int32, Double) |
Generates a random vector of observations from the current distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| Generate(Int32, Int32) |
Generates a random vector of observations from the current distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| Generate(Int32, Random) |
Generates a random vector of observations from the current distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| Generate(Int32, Random) |
Generates a random observation from the current distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| Generate(Int32, Double, Random) |
Generates a random vector of observations from the current distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| Generate(Int32, Int32, Random) |
Generates a random vector of observations from the current distribution.
(Inherited from MultivariateDiscreteDistribution.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| InnerComplementaryDistributionFunction |
Gets the complementary cumulative distribution function
(ccdf) for this distribution evaluated at point x.
This function is also known as the Survival function.
(Inherited from MultivariateDiscreteDistribution.) |
| InnerDistributionFunction |
Gets the cumulative distribution function (cdf) for
this distribution evaluated at point x.
(Overrides MultivariateDiscreteDistributionInnerDistributionFunction(Int32).) |
| InnerInverseDistributionFunction |
Not supported.
(Inherited from MultivariateDiscreteDistribution.) |
| InnerLogProbabilityMassFunction |
Gets the log-probability mass function (pmf) for
this distribution evaluated at point x.
(Overrides MultivariateDiscreteDistributionInnerLogProbabilityMassFunction(Int32).) |
| InnerProbabilityMassFunction |
Gets the probability mass function (pmf) for
this distribution evaluated at point x.
(Overrides MultivariateDiscreteDistributionInnerProbabilityMassFunction(Int32).) |
| InverseDistributionFunction |
Not supported.
(Inherited from MultivariateDiscreteDistribution.) |
| LogProbabilityMassFunction |
Gets the log-probability mass function (pmf) for
this distribution evaluated at point x.
(Inherited from MultivariateDiscreteDistribution.) |
| MarginalDistributionFunction(Int32) |
Gets the marginal distribution of a given variable.
(Inherited from MultivariateDiscreteDistribution.) |
| MarginalDistributionFunction(Int32, Int32) |
Gets the marginal distribution of a given variable evaluated at a given value.
(Inherited from MultivariateDiscreteDistribution.) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| ProbabilityMassFunction |
Gets the probability mass function (pmf) for
this distribution evaluated at point x.
(Inherited from MultivariateDiscreteDistribution.) |
| ToString |
Returns a String that represents this instance.
(Inherited from DistributionBase.) |
| ToString(IFormatProvider) |
Returns a String that represents this instance.
(Inherited from DistributionBase.) |
| ToString(String) |
Returns a String that represents this instance.
(Inherited from DistributionBase.) |
| ToString(String, IFormatProvider) |
Returns a String that represents this instance.
(Overrides DistributionBaseToString(String, IFormatProvider).) |
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