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

java.lang.Object
  gov.sandia.cognition.util.AbstractCloneableSerializable
      gov.sandia.cognition.collection.AbstractScalarMap<KeyType>
          gov.sandia.cognition.collection.AbstractMutableDoubleMap<KeyType>
              gov.sandia.cognition.statistics.AbstractDataDistribution<KeyType>
                  gov.sandia.cognition.statistics.distribution.DefaultDataDistribution<Double>
                      gov.sandia.cognition.statistics.distribution.ScalarDataDistribution
                          gov.sandia.cognition.statistics.distribution.ScalarDataDistribution.PMF

All Implemented Interfaces:

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

Enclosing class:

ScalarDataDistribution

public static class ScalarDataDistribution.PMF
extends ScalarDataDistribution
implements DataDistribution.PMF<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.SimpleEntry<KeyType>, AbstractMutableDoubleMap.SimpleEntrySet<KeyType>, AbstractMutableDoubleMap.SimpleIterator<KeyType>

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

AbstractScalarMap.MapWrapper

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.AbstractMutableDoubleMap

map

Constructor Summary

ScalarDataDistribution.PMF()
Default constructor

ScalarDataDistribution.PMF(Iterable<? extends Number> data)
Creates a new instance of PMF

ScalarDataDistribution.PMF(ScalarDataDistribution other)
Copy constructor

Method Summary

Double	evaluate(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(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, 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, toInfiniteVector

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

asMap, compact, containsKey, entrySet, get, keySet, size

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

decrement, decrement, decrementAll, decrementAll, getMaxValueKey, getMaxValueKeys, getMinValueKey, getMinValueKeys, increment, incrementAll, incrementAll, isEmpty, setAll

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

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

Constructor Detail

ScalarDataDistribution.PMF

public ScalarDataDistribution.PMF()

Default constructor

ScalarDataDistribution.PMF

public ScalarDataDistribution.PMF(ScalarDataDistribution other)

Copy constructor

Parameters:

other - ScalarDataDistribution to copy

ScalarDataDistribution.PMF

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

Creates a new instance of PMF

Parameters:

data - Data used to create the PMF

Method Detail

logEvaluate

public double logEvaluate(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<Double>

Returns:

Natural logarithm of the distribution function.

evaluate

public Double evaluate(Double input)

Description copied from interface: Evaluator

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

Specified by:

evaluate in interface Evaluator<Double,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<Double>

Specified by:

getProbabilityFunction in interface DataDistribution<Double>

Specified by:

getProbabilityFunction in interface DiscreteDistribution<Double>

Specified by:

getProbabilityFunction in interface ProbabilityMassFunction<Double>

Overrides:

getProbabilityFunction in class ScalarDataDistribution

Returns:

Distribution function associated with this Distribution.