io.improbable.keanu.distributions.discrete

Class Multinomial

java.lang.Object

io.improbable.keanu.distributions.discrete.Multinomial

All Implemented Interfaces:

DiscreteDistribution, Distribution<IntegerTensor>

public class Multinomial
extends java.lang.Object
implements DiscreteDistribution

Field Summary

Fields

Modifier and Type	Field and Description
static double	DEFAULT_ALLOWED_PROBABILITY_ERROR

Method Summary

Modifier and Type	Method and Description
DoubleTensor	logProb(IntegerTensor x)
IntegerTensor	sample(long[] shape, KeanuRandom random)
static void	setAllowedProbabilityError(double allowedProbabilityError)
static Multinomial	withParameters(IntegerTensor n, DoubleTensor p)
static Multinomial	withParameters(IntegerTensor n, DoubleTensor p, boolean validationEnabled)

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_ALLOWED_PROBABILITY_ERROR

public static final double DEFAULT_ALLOWED_PROBABILITY_ERROR

See Also:

Constant Field Values

Method Detail

setAllowedProbabilityError

public static void setAllowedProbabilityError(double allowedProbabilityError)

withParameters

public static Multinomial withParameters(IntegerTensor n,
                                         DoubleTensor p)

withParameters

public static Multinomial withParameters(IntegerTensor n,
                                         DoubleTensor p,
                                         boolean validationEnabled)

sample

public IntegerTensor sample(long[] shape,
                            KeanuRandom random)

Specified by:

sample in interface Distribution<IntegerTensor>

logProb

public DoubleTensor logProb(IntegerTensor x)

Specified by:

logProb in interface Distribution<IntegerTensor>