gov.sandia.cognition.statistics.distribution

Class ScalarDataDistribution.PMF

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.collection.AbstractScalarMap<KeyType,MutableDouble>

gov.sandia.cognition.collection.AbstractMutableDoubleMap<KeyType>

gov.sandia.cognition.statistics.AbstractDataDistribution<KeyType>

gov.sandia.cognition.statistics.distribution.DefaultDataDistribution<java.lang.Double>

gov.sandia.cognition.statistics.distribution.ScalarDataDistribution

gov.sandia.cognition.statistics.distribution.ScalarDataDistribution.PMF

All Implemented Interfaces:

NumericMap<java.lang.Double>, ScalarMap<java.lang.Double>, Evaluator<java.lang.Double,java.lang.Double>, ComputableDistribution<java.lang.Double>, DataDistribution<java.lang.Double>, DataDistribution.PMF<java.lang.Double>, DiscreteDistribution<java.lang.Double>, Distribution<java.lang.Double>, DistributionWithMean<java.lang.Double>, EstimableDistribution<java.lang.Double,DataDistribution<java.lang.Double>>, ProbabilityFunction<java.lang.Double>, ProbabilityMassFunction<java.lang.Double>, UnivariateDistribution<java.lang.Double>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

ScalarDataDistribution

public static class ScalarDataDistribution.PMF
extends ScalarDataDistribution
implements DataDistribution.PMF<java.lang.Double>

PMF of the ScalarDataDistribution

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class gov.sandia.cognition.statistics.distribution.ScalarDataDistribution

ScalarDataDistribution.CDF, ScalarDataDistribution.Estimator, ScalarDataDistribution.PMF

Nested classes/interfaces inherited from class gov.sandia.cognition.statistics.distribution.DefaultDataDistribution

DefaultDataDistribution.DefaultFactory<DataType>, DefaultDataDistribution.WeightedEstimator<KeyType>

Nested classes/interfaces inherited from class gov.sandia.cognition.collection.AbstractMutableDoubleMap

AbstractMutableDoubleMap.Entry<KeyType>, AbstractMutableDoubleMap.SimpleEntry<KeyType>, AbstractMutableDoubleMap.SimpleEntrySet<KeyType>, AbstractMutableDoubleMap.SimpleIterator<KeyType>

Nested classes/interfaces inherited from interface gov.sandia.cognition.statistics.DataDistribution

DataDistribution.PMF<KeyType>

Nested classes/interfaces inherited from interface gov.sandia.cognition.collection.ScalarMap

ScalarMap.Entry<KeyType>

Field Summary

Fields inherited from class gov.sandia.cognition.statistics.distribution.DefaultDataDistribution

DEFAULT_INITIAL_CAPACITY, total

Fields inherited from class gov.sandia.cognition.collection.AbstractScalarMap

map

Constructor Summary

Constructors

Constructor and Description
PMF() Default constructor
PMF(java.lang.Iterable<? extends java.lang.Number> data) Creates a new instance of PMF
PMF(ScalarDataDistribution other) Copy constructor

Method Summary

Modifier and Type	Method and Description
java.lang.Double	evaluate(java.lang.Double input) Evaluates the function on the given input and returns the output.
ScalarDataDistribution.PMF	getProbabilityFunction() Gets the distribution function associated with this Distribution, either the PDF or PMF.
double	logEvaluate(java.lang.Double input) Evaluate the natural logarithm of the distribution function.

Methods inherited from class gov.sandia.cognition.statistics.distribution.ScalarDataDistribution

clone, getCDF, getEstimator, getMaxSupport, getMean, getMeanAsDouble, getMinSupport, getVariance

Methods inherited from class gov.sandia.cognition.statistics.distribution.DefaultDataDistribution

clear, getMeanValue, getTotal, increment, set

Methods inherited from class gov.sandia.cognition.statistics.AbstractDataDistribution

fromInfiniteVector, getDomain, getDomainSize, getEntropy, getFraction, getLogFraction, getMaxValue, getMinValue, sample, sample, sampleInto, toInfiniteVector

Methods inherited from class gov.sandia.cognition.collection.AbstractMutableDoubleMap

asMap, compact, entrySet, get

Methods inherited from class gov.sandia.cognition.collection.AbstractScalarMap

containsKey, decrement, decrement, decrementAll, decrementAll, getMaxValueKey, getMaxValueKeys, getMinValueKey, getMinValueKeys, increment, incrementAll, incrementAll, isEmpty, keySet, setAll, setAll, size

Methods inherited from class java.lang.Object

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

Methods inherited from interface gov.sandia.cognition.statistics.DataDistribution

clone, fromInfiniteVector, getEntropy, getEstimator, getFraction, getLogFraction, getTotal, toInfiniteVector

Methods inherited from interface gov.sandia.cognition.collection.ScalarMap

asMap, decrement, decrement, decrementAll, decrementAll, entrySet, get, getMaxValue, getMinValue, increment, increment, incrementAll, incrementAll, set, setAll, setAll

Methods inherited from interface gov.sandia.cognition.collection.NumericMap

clear, containsKey, getMaxValueKey, getMaxValueKeys, getMinValueKey, getMinValueKeys, isEmpty, keySet, size

Methods inherited from interface gov.sandia.cognition.statistics.ProbabilityMassFunction

getEntropy

Methods inherited from interface gov.sandia.cognition.statistics.DiscreteDistribution

getDomain, getDomainSize

Methods inherited from interface gov.sandia.cognition.statistics.Distribution

sample, sample, sampleInto

Constructor Detail

PMF

public PMF()

Default constructor

PMF

public PMF(ScalarDataDistribution other)

Copy constructor

Parameters:

other - ScalarDataDistribution to copy

PMF

public PMF(java.lang.Iterable<? extends java.lang.Number> data)

Creates a new instance of PMF

Parameters:

data - Data used to create the PMF

Method Detail

logEvaluate

public double logEvaluate(java.lang.Double input)

Description copied from interface: ProbabilityFunction

Evaluate the natural logarithm of the distribution function. This is sometimes more efficient than evaluating the distribution function itself, and when evaluating the product of many independent or exchangeable samples.

Specified by:

logEvaluate in interface ProbabilityFunction<java.lang.Double>

Parameters:

input - The input to be evaluated

Returns:

Natural logarithm of the distribution function.

evaluate

public java.lang.Double evaluate(java.lang.Double input)

Description copied from interface: Evaluator

Evaluates the function on the given input and returns the output.

Specified by:

evaluate in interface Evaluator<java.lang.Double,java.lang.Double>

Parameters:

input - The input to evaluate.

Returns:

The output produced by evaluating the input.

getProbabilityFunction

public ScalarDataDistribution.PMF getProbabilityFunction()

Description copied from interface: ComputableDistribution

Gets the distribution function associated with this Distribution, either the PDF or PMF.

Specified by:

getProbabilityFunction in interface ComputableDistribution<java.lang.Double>

Specified by:

getProbabilityFunction in interface DataDistribution<java.lang.Double>

Specified by:

getProbabilityFunction in interface DiscreteDistribution<java.lang.Double>

Specified by:

getProbabilityFunction in interface ProbabilityMassFunction<java.lang.Double>

Overrides:

getProbabilityFunction in class ScalarDataDistribution

Returns:

Distribution function associated with this Distribution.