io.improbable.keanu.vertices.generic.nonprobabilistic

Class IfVertex<T>

java.lang.Object

io.improbable.keanu.vertices.Vertex<Tensor<T>>

io.improbable.keanu.vertices.generic.nonprobabilistic.IfVertex<T>

All Implemented Interfaces:

Variable<Tensor<T>>, NonProbabilistic<Tensor<T>>, Observable<Tensor<T>>, Samplable<Tensor<T>>

public class IfVertex<T>
extends Vertex<Tensor<T>>
implements NonProbabilistic<Tensor<T>>

Constructor Summary

Constructors

Constructor and Description
IfVertex(Vertex<? extends BooleanTensor> predicate, Vertex<? extends Tensor<T>> thn, Vertex<? extends Tensor<T>> els)

Method Summary

Modifier and Type	Method and Description
Tensor<T>	calculate()
Vertex<? extends Tensor<T>>	getEls()
Vertex<? extends BooleanTensor>	getPredicate()
Vertex<? extends Tensor<T>>	getThn()
Tensor<T>	sample(KeanuRandom random)

Methods inherited from class io.improbable.keanu.vertices.Vertex

addChild, addParent, addParents, equals, eval, getChildren, getConnectedGraph, getDegree, getId, getIndentation, getLabel, getObservedValue, getParents, getReference, getShape, getValue, hashCode, hasValue, isObserved, isProbabilistic, lazyEval, loadValue, observe, observeOwnValue, removeLabel, save, saveValue, setAndCascade, setLabel, setLabel, setParents, setParents, setValue, toString, unobserve

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface io.improbable.keanu.vertices.NonProbabilistic

contradictsObservation

Methods inherited from interface io.improbable.keanu.vertices.Observable

getObservedValue, isObserved, observableTypeFor, observe, unobserve

Methods inherited from interface io.improbable.keanu.vertices.Samplable

sample

Constructor Detail

IfVertex

public IfVertex(Vertex<? extends BooleanTensor> predicate,
                Vertex<? extends Tensor<T>> thn,
                Vertex<? extends Tensor<T>> els)

Method Detail

sample

public Tensor<T> sample(KeanuRandom random)

Specified by:

sample in interface Samplable<Tensor<T>>

Parameters:

random - source of randomness

Returns:

a sample from the vertex's distribution. For non-probabilistic vertices, this will always be the same value.

calculate

public Tensor<T> calculate()

Specified by:

calculate in interface NonProbabilistic<Tensor<T>>

getPredicate

public Vertex<? extends BooleanTensor> getPredicate()

getThn

public Vertex<? extends Tensor<T>> getThn()

getEls

public Vertex<? extends Tensor<T>> getEls()