Class InitializationOptions

Options governing the initialization of distributions at the start of parameter learning.

Inheritance

Object

InitializationOptions

Implements

INotifyPropertyChanged

Inherited Members

Object.Equals(Object)

Object.Equals(Object, Object)

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ReferenceEquals(Object, Object)

Namespace: BayesServer.Learning.Parameters

Assembly: BayesServer.Learning.Parameters.dll

Syntax

[TypeConverter(typeof(ExpandableObjectConverter))]
public sealed class InitializationOptions : INotifyPropertyChanged

Properties

InitializeDistributions

Indicates whether or not to initialize distributions by default.

Declaration

public bool InitializeDistributions { get; set; }

Property Value

Type	Description
Boolean

Remarks

This value can be overridden by Initialize.

MaximumSupport

Limits the amount of support each distribution is given during initialization.

Declaration

public int MaximumSupport { get; set; }

Property Value

Type	Description
Int32

Method

Determines the algorithm used for initialization.

Declaration

public InitializationMethod Method { get; set; }

Property Value

Type	Description
InitializationMethod

SamplingProbability

A value between 0 and 1 (inclusive) indicating what probability of cases to use for initialization.

Declaration

public double SamplingProbability { get; set; }

Property Value

Type	Description
Double

Methods

ToString()

Declaration

public override string ToString()

Returns

Type	Description
String

Overrides

Object.ToString()

Events

PropertyChanged

Declaration

public event PropertyChangedEventHandler PropertyChanged

Event Type

Type	Description
PropertyChangedEventHandler

Implements

System.ComponentModel.INotifyPropertyChanged