io.improbable.keanu.vertices.intgr.probabilistic

Class BinomialVertex

java.lang.Object

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

io.improbable.keanu.vertices.DiscreteVertex<IntegerTensor>

io.improbable.keanu.vertices.intgr.IntegerVertex

io.improbable.keanu.vertices.intgr.probabilistic.ProbabilisticInteger

io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex

All Implemented Interfaces:

io.improbable.keanu.kotlin.IntegerOperators<IntegerVertex>, io.improbable.keanu.kotlin.Operators<IntegerVertex>

public class BinomialVertex
extends ProbabilisticInteger

Field Summary

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

ID_GENERATOR

Constructor Summary

Constructors

Constructor and Description
BinomialVertex(double p, int n)
BinomialVertex(double p, IntegerVertex n)
BinomialVertex(DoubleVertex p, int n)
BinomialVertex(DoubleVertex p, IntegerVertex n)
BinomialVertex(int[] tensorShape, double p, int n)
BinomialVertex(int[] tensorShape, double p, IntegerVertex n)
BinomialVertex(int[] tensorShape, DoubleVertex p, int n)
BinomialVertex(int[] tensorShape, DoubleVertex p, IntegerVertex n)

Method Summary

Modifier and Type	Method and Description
java.util.Map<java.lang.Long,DoubleTensor>	dLogPmf(IntegerTensor value)
double	logPmf(IntegerTensor kTensor)
IntegerTensor	sample(KeanuRandom random)

Methods inherited from class io.improbable.keanu.vertices.intgr.probabilistic.ProbabilisticInteger

isProbabilistic, updateValue

Methods inherited from class io.improbable.keanu.vertices.intgr.IntegerVertex

abs, div, div, divideBy, divideBy, divideBy, dLogPmf, dLogPmf, getValue, lambda, lambda, logPmf, logPmf, minus, minus, minus, multiply, multiply, multiply, observe, observe, plus, plus, plus, setAndCascade, setAndCascade, setValue, setValue, sum, times, times, unaryMinus

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

dLogProb, logProb

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

addChild, addParent, addParents, dLogProbAtValue, equals, eval, getChildren, getConnectedGraph, getId, getParents, getRawValue, getShape, getValue, hashCode, hasValue, isObserved, lazyEval, logProbAtValue, observe, observeOwnValue, sample, setAndCascade, setParents, setParents, setValue, unobserve

Methods inherited from class java.lang.Object

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

Constructor Detail

BinomialVertex

public BinomialVertex(int[] tensorShape,
                      DoubleVertex p,
                      IntegerVertex n)

BinomialVertex

public BinomialVertex(int[] tensorShape,
                      double p,
                      IntegerVertex n)

BinomialVertex

public BinomialVertex(int[] tensorShape,
                      DoubleVertex p,
                      int n)

BinomialVertex

public BinomialVertex(int[] tensorShape,
                      double p,
                      int n)

BinomialVertex

public BinomialVertex(DoubleVertex p,
                      IntegerVertex n)

BinomialVertex

public BinomialVertex(double p,
                      IntegerVertex n)

BinomialVertex

public BinomialVertex(DoubleVertex p,
                      int n)

BinomialVertex

public BinomialVertex(double p,
                      int n)

Method Detail

logPmf

public double logPmf(IntegerTensor kTensor)

Specified by:

logPmf in class DiscreteVertex<IntegerTensor>

dLogPmf

public java.util.Map<java.lang.Long,DoubleTensor> dLogPmf(IntegerTensor value)

Specified by:

dLogPmf in class DiscreteVertex<IntegerTensor>

sample

public IntegerTensor sample(KeanuRandom random)

Specified by:

sample in class Vertex<IntegerTensor>

Parameters:

random - source of randomness

Returns:

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