NormalOptions Class

Estimation options for Normal distributions.

Inheritance Hierarchy

SystemObject
Accord.Statistics.Distributions.FittingNormalOptions

Namespace: Accord.Statistics.Distributions.Fitting
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

[SerializableAttribute]
public class NormalOptions : IFittingOptions, 
	ICloneable, IComponentOptions

<SerializableAttribute>
Public Class NormalOptions
	Implements IFittingOptions, ICloneable, IComponentOptions

The NormalOptions type exposes the following members.

Constructors

	Name	Description
	NormalOptions	Initializes a new instance of the NormalOptions class.

Properties

	Name	Description
	Diagonal	Gets or sets a value indicating whether the covariance matrix to be estimated should be assumed to be diagonal.
	Postprocessing	Gets or sets a post processing step can be called after all component distributions have been fitted (or their .Fit() method has been called).
	Regularization	Gets or sets the regularization step to avoid singular or non-positive definite covariance matrices. Default is 0. Setting this property to a small constant like 1e-6 is more efficient than setting Robust to true.
	Robust	Gets or sets whether the estimation function should allow non-positive definite covariance matrices by using the Singular Value Decomposition Function. Enabling this property can significantly increase learning times.
	Shared	Gets or sets whether the normal distributions should have only a single, shared covariance matrix among all components in a mixture. Setting this property only has effect if the distributions are part of a MixtureT or MultivariateMixtureT

Methods

	Name	Description
	Clone	Creates a new object that is a copy of the current instance.
	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.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

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.)