C# Класс Accord.Statistics.Distributions.Multivariate.HiddenMarkovDistribution

Hidden Markov Model probability distribution.

Наследование: MultivariateDiscreteDistribution

Открытые методы

Метод	Описание
Clone ( ) : object	Creates a new object that is a copy of the current instance.
DistributionFunction ( int x ) : double	Gets the cumulative distribution function (cdf) for this distribution evaluated at point `x`. The Cumulative Distribution Function (CDF) describes the cumulative probability that a given value or any value smaller than it will occur.
Fit ( double observations, double weights, Fitting options ) : void	Fits the underlying distribution to a given set of observations. Although both double[] and double[][] arrays are supported, providing a double[] for a multivariate distribution or a double[][] for a univariate distribution may have a negative impact in performance.
Fit ( double observations, double weights, HiddenMarkovOptions options ) : void	Fits the underlying distribution to a given set of observations. Although both double[] and double[][] arrays are supported, providing a double[] for a multivariate distribution or a double[][] for a univariate distribution may have a negative impact in performance.
HiddenMarkovDistribution ( HiddenMarkovModel model ) : System	Initializes a new instance of the HiddenMarkovDistribution class.
LogProbabilityMassFunction ( int x ) : double	Gets the log-probability mass function (pmf) for this distribution evaluated at point `x`. The Probability Mass Function (PMF) describes the probability that a given value `x` will occur.
ProbabilityMassFunction ( int x ) : double	Gets the probability mass function (pmf) for this distribution evaluated at point `x`. The Probability Mass Function (PMF) describes the probability that a given value `x` will occur.
ToString ( string format, IFormatProvider formatProvider ) : string	Returns a System.String that represents this instance.

Описание методов

Clone() публичный Метод

Creates a new object that is a copy of the current instance.

public Clone ( ) : object
Результат	object

DistributionFunction() публичный Метод

Gets the cumulative distribution function (cdf) for this distribution evaluated at point x.

The Cumulative Distribution Function (CDF) describes the cumulative probability that a given value or any value smaller than it will occur.

public DistributionFunction ( int x ) : double
x	int	A single point in the distribution range.
Результат	double

Fit() публичный Метод

Fits the underlying distribution to a given set of observations.

Although both double[] and double[][] arrays are supported, providing a double[] for a multivariate distribution or a double[][] for a univariate distribution may have a negative impact in performance.

public Fit ( double observations, double weights, Fitting options ) : void
observations	double	The array of observations to fit the model against. The array /// elements can be either of type double (for univariate data) or /// type double[] (for multivariate data).
weights	double	The weight vector containing the weight for each of the samples.
options	Fitting	Optional arguments which may be used during fitting, such /// as regularization constants and additional parameters.
Результат	void

Fit() публичный Метод

Fits the underlying distribution to a given set of observations.

public Fit ( double observations, double weights, HiddenMarkovOptions options ) : void
observations	double	The array of observations to fit the model against. The array /// elements can be either of type double (for univariate data) or /// type double[] (for multivariate data).
weights	double	The weight vector containing the weight for each of the samples.
options	Accord.Statistics.Distributions.Fitting.HiddenMarkovOptions	Optional arguments which may be used during fitting, such /// as regularization constants and additional parameters.
Результат	void

HiddenMarkovDistribution() публичный Метод

Initializes a new instance of the HiddenMarkovDistribution class.

public HiddenMarkovDistribution ( HiddenMarkovModel model ) : System
model	Accord.Statistics.Models.Markov.HiddenMarkovModel	The model.
Результат	System

LogProbabilityMassFunction() публичный Метод

Gets the log-probability mass function (pmf) for this distribution evaluated at point x.

The Probability Mass Function (PMF) describes the probability that a given value x will occur.

public LogProbabilityMassFunction ( int x ) : double
x	int	A single point in the distribution range.
Результат	double

ProbabilityMassFunction() публичный Метод

Gets the probability mass function (pmf) for this distribution evaluated at point x.

The Probability Mass Function (PMF) describes the probability that a given value x will occur.

public ProbabilityMassFunction ( int x ) : double
x	int	A single point in the distribution range.
Результат	double

ToString() публичный Метод

Returns a System.String that represents this instance.

public ToString ( string format, IFormatProvider formatProvider ) : string
format	string	The format.
formatProvider	IFormatProvider	The format provider.
Результат	string