C# Class Accord.Statistics.Distributions.Univariate.GeneralDiscreteDistribution

Inheritance: UnivariateDiscreteDistribution

Méthodes publiques

Méthode	Description
Clone ( ) : object	Creates a new object that is a copy of the current instance.
DistributionFunction ( int x ) : double	Gets the probability density function (pdf) for this distribution evaluated at point `x`. The Probability Density Function (PDF) describes the probability that a given value `x` will occur.
Fit ( double observations, double weights ) : IDistribution	Fits the underlying distribution to a given set of observations.
GeneralDiscreteDistribution ( ) : System	Constructs a new generic discrete distribution.
GeneralDiscreteDistribution ( int start ) : System	Constructs a new generic discrete distribution.
GeneralDiscreteDistribution ( int start, int symbols ) : System	Constructs a new uniform discrete distribution.
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.

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

public Clone ( ) : object
Résultat	object

Gets the probability density function (pdf) for this distribution evaluated at point x.

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

public DistributionFunction ( int x ) : double
x	int	/// A single point in the distribution range. For a /// univariate distribution, this should be a single /// double value. For a multivariate distribution, /// this should be a double array.
Résultat	double

Fits the underlying distribution to a given set of observations.

public Fit ( double observations, double weights ) : IDistribution
observations	double	/// The array of observations to fit the model against. ///
weights	double	/// The weight vector containing the weight for each of the samples. ///
Résultat	IDistribution

Constructs a new generic discrete distribution.

public GeneralDiscreteDistribution ( ) : System
Résultat	System

Constructs a new generic discrete distribution.

public GeneralDiscreteDistribution ( int start ) : System
start	int	/// The integer value where the distribution starts, also /// known as the offset value. Default value is 0.
Résultat	System

Constructs a new uniform discrete distribution.

public GeneralDiscreteDistribution ( int start, int symbols ) : System
start	int	/// The integer value where the distribution starts, also /// known as the offset value. Default value is 0.
symbols	int	/// The number of discrete values within the distribution. /// The distribution is assumed to belong to the interval /// [start, start + symbols].
Résultat	System

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.
Résultat	double