Package elki.data.uncertain.uncertainifier

Class WeightedDiscreteUncertainifier

java.lang.Object

elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier<WeightedDiscreteUncertainObject>

elki.data.uncertain.uncertainifier.WeightedDiscreteUncertainifier

All Implemented Interfaces:

Uncertainifier<WeightedDiscreteUncertainObject>

public class WeightedDiscreteUncertainifier
extends AbstractDiscreteUncertainifier<WeightedDiscreteUncertainObject>

Class to generate weighted discrete uncertain objects.

This is a second-order generator: it requires the use of another generator to sample from (e.g., UniformUncertainifier or SimpleGaussianUncertainifier).

Since:

0.7.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	WeightedDiscreteUncertainifier.Par	Parameterization class.

Field Summary

Fields inherited from class elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier

inner, maxQuant, minQuant

Fields inherited from interface elki.data.uncertain.uncertainifier.Uncertainifier

SYMMETRIC_ID

Constructor Summary

Constructors

Constructor	Description
WeightedDiscreteUncertainifier(Uncertainifier<?> inner, int minQuant, int maxQuant)	Constructor.

Method Summary

Modifier and Type	Method	Description
FeatureVector.Factory<WeightedDiscreteUncertainObject,?>	getFactory()	Get the vector factory used for type information and serialization (if supported).
<A> WeightedDiscreteUncertainObject	newFeatureVector(java.util.Random rand, A array, NumberArrayAdapter<?,A> adapter)	Generate a new uncertain object.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

WeightedDiscreteUncertainifier

public WeightedDiscreteUncertainifier(Uncertainifier<?> inner,
                                      int minQuant,
                                      int maxQuant)

Constructor.

Parameters:

inner - Inner uncertainifier

minQuant - Minimum number of samples

maxQuant - Maximum number of samples

Method Detail

newFeatureVector

public <A> WeightedDiscreteUncertainObject newFeatureVector(java.util.Random rand,
                                                            A array,
                                                            NumberArrayAdapter<?,A> adapter)

Description copied from interface: Uncertainifier

Generate a new uncertain object. This interface is specialized to numerical arrays. The generics allow the use with primitive double[] arrays:

 UO obj = newFeatureVector(array, ArrayLikeUtil.DOUBLEARRAYADAPTER);
 

Type Parameters:

A - Array type

Parameters:

rand - Random generator

array - Array

adapter - Array type adapter

Returns:

Uncertain object

getFactory

public FeatureVector.Factory<WeightedDiscreteUncertainObject,?> getFactory()

Description copied from interface: Uncertainifier

Get the vector factory used for type information and serialization (if supported).

Returns:

Vector factory.