DistributionInfo Class

Initializes a new instance of the DistributionInfo class.

Gets the distribution's type information.

Gets a value indicating whether it is possible to discover enough information about this constructor such that the distribution can be constructed using reflection.

Gets a value indicating whether the distribution modeled by DistributionType is a continuous-valued distribution. Discrete distributions are assumed to inherit from UnivariateContinuousDistribution or MultivariateContinuousDistribution.

Gets a value indicating whether the distribution modeled by DistributionType is a discrete-valued distribution. Discrete distributions are assumed to inherit from UnivariateDiscreteDistribution or MultivariateDiscreteDistribution.

Gets a value indicating whether the distribution modeled by DistributionType is multivariate. A distribution is assumed to be univariate if it implements the IMultivariateDistribution interface.

Gets a value indicating whether the distribution modeled by DistributionType is univariate. A distribution is assumed to be univariate if it implements the IUnivariateDistribution interface.

Gets the name of this distribution in a more human-readable form.

Determines whether the specified object is equal to the current object.

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Gets the public constructors of the distribution.

Gets the name of the distribution modeled by a given Accord.NET type. The name is returned in a normalized form (i.e. given a type whose name is NormalDistribution, the function would return "Normal").

Gets the fitting options object that are expected by the distribution, if any. An Accord.NET distribution object can be fitted to a set of observed values. However, some distributions have different settings on how this fitting can be done. This function creates an object that contains those possible settings that can be configured for a given distribution type.

Gets the fitting options object that are expected by one distribution, if any. An Accord.NET distribution object can be fit to a set of observed values. However, some distributions have different settings on how this fitting can be done. This function creates an object that contains those possible settings that can be configured for a given distribution type.

Gets the fitting options object that are expected by one distribution, if any. An Accord.NET distribution object can be fit to a set of observed values. However, some distributions have different settings on how this fitting can be done. This function creates an object that contains those possible settings that can be configured for a given distribution type.

Serves as the default hash function.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Returns a String that represents this instance.

Checks whether an object implements a method with the given name.

Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.

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.

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.