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

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.CDF

All Implemented Interfaces:

NumericMap<Double>, ScalarMap<Double>, Evaluator<Double,Double>, ComputableDistribution<Double>, CumulativeDistributionFunction<Double>, DataDistribution<Double>, DiscreteDistribution<Double>, Distribution<Double>, DistributionWithMean<Double>, EstimableDistribution<Double,DataDistribution<Double>>, UnivariateDistribution<Double>, CloneableSerializable, Serializable, Cloneable

Enclosing class:

ScalarDataDistribution

public static class ScalarDataDistribution.CDF
extends ScalarDataDistribution
implements CumulativeDistributionFunction<Double>

CDF of the ScalarDataDistribution, maintains the keys/domain in sorted order (TreeMap), so it's slower than it's peers.

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.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.CDF()
Default constructor

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

ScalarDataDistribution.CDF(ScalarDataDistribution other)
Copy constructor

Method Summary

ScalarDataDistribution.CDF	clone() This makes public the clone method on the Object class and removes the exception that it throws.
Double	evaluate(Double input) Evaluates the function on the given input and returns the output.
ScalarDataDistribution.CDF	getCDF() Gets the CDF of a scalar distribution.
Double	getMaxSupport() Gets the minimum support (domain or input) of the distribution.
Double	getMinSupport() Gets the minimum support (domain or input) of the distribution.

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

getEstimator, getMean, getProbabilityFunction, 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.UnivariateDistribution

getVariance

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

getMean

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

sample, sample

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

asMap, decrement, decrement, decrementAll, decrementAll, entrySet, get, increment, incrementAll, incrementAll, setAll

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

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

Constructor Detail

ScalarDataDistribution.CDF

public ScalarDataDistribution.CDF()

Default constructor

ScalarDataDistribution.CDF

public ScalarDataDistribution.CDF(ScalarDataDistribution other)

Copy constructor

Parameters:

other - ScalarDataDistribution to copy

ScalarDataDistribution.CDF

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

Creates a new instance of PMF

Parameters:

data - Data used to create the PMF

Method Detail

clone

public ScalarDataDistribution.CDF clone()

Description copied from class: AbstractCloneableSerializable

This makes public the clone method on the Object class and removes the exception that it throws. Its default behavior is to automatically create a clone of the exact type of object that the clone is called on and to copy all primitives but to keep all references, which means it is a shallow copy. Extensions of this class may want to override this method (but call super.clone() to implement a "smart copy". That is, to target the most common use case for creating a copy of the object. Because of the default behavior being a shallow copy, extending classes only need to handle fields that need to have a deeper copy (or those that need to be reset). Some of the methods in ObjectUtil may be helpful in implementing a custom clone method. Note: The contract of this method is that you must use super.clone() as the basis for your implementation.

Specified by:

clone in interface DataDistribution<Double>

Specified by:

clone in interface CloneableSerializable

Overrides:

clone in class ScalarDataDistribution

Returns:

A clone of this object.

getMinSupport

public Double getMinSupport()

Description copied from interface: UnivariateDistribution

Gets the minimum support (domain or input) of the distribution.

Specified by:

getMinSupport in interface UnivariateDistribution<Double>

Overrides:

getMinSupport in class ScalarDataDistribution

Returns:

Minimum support.

getMaxSupport

public Double getMaxSupport()

Description copied from interface: UnivariateDistribution

Gets the minimum support (domain or input) of the distribution.

Specified by:

getMaxSupport in interface UnivariateDistribution<Double>

Overrides:

getMaxSupport in class ScalarDataDistribution

Returns:

Minimum support.

getCDF

public ScalarDataDistribution.CDF getCDF()

Description copied from interface: UnivariateDistribution

Gets the CDF of a scalar distribution.

Specified by:

getCDF in interface UnivariateDistribution<Double>

Overrides:

getCDF in class ScalarDataDistribution

Returns:

CDF of the scalar distribution.

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.