public class GeometricMean extends AbstractStorelessUnivariateStatistic implements java.io.Serializable
Uses a SumOfLogs
instance to compute sum of logs and returns
exp( 1/n (sum of logs) ).
Therefore,
NaN.
Double.POSITIVE_INFINITY
, but at least one value is 0, the
result is 0.
Double.POSITIVE_INFINITY
and
Double.NEGATIVE_INFINITY
are among the values, the result is
NaN.
Note that this implementation is not synchronized. If
multiple threads access an instance of this class concurrently, and at least
one of the threads invokes the increment()
or
clear()
method, it must be synchronized externally.
Constructor and Description |
---|
GeometricMean()
Create a GeometricMean instance
|
GeometricMean(GeometricMean original)
Copy constructor, creates a new
GeometricMean identical
to the original |
GeometricMean(SumOfLogs sumOfLogs)
Create a GeometricMean instance using the given SumOfLogs instance
|
Modifier and Type | Method and Description |
---|---|
void |
clear()
Clears the internal state of the Statistic
|
GeometricMean |
copy()
Returns a copy of the statistic with the same internal state.
|
static void |
copy(GeometricMean source,
GeometricMean dest)
Copies source to dest.
|
double |
evaluate(double[] values,
int begin,
int length)
Returns the geometric mean of the entries in the specified portion
of the input array.
|
long |
getN()
Returns the number of values that have been added.
|
double |
getResult()
Returns the current value of the Statistic.
|
StorelessUnivariateStatistic |
getSumLogImpl()
Returns the currently configured sum of logs implementation
|
void |
increment(double d)
Updates the internal state of the statistic to reflect the addition of the new value.
|
void |
setSumLogImpl(StorelessUnivariateStatistic sumLogImpl)
Sets the implementation for the sum of logs.
|
equals, evaluate, hashCode, incrementAll, incrementAll
evaluate, getData, setData, setData
public GeometricMean()
public GeometricMean(GeometricMean original)
GeometricMean
identical
to the original
original
- the GeometricMean
instance to copypublic GeometricMean(SumOfLogs sumOfLogs)
sumOfLogs
- sum of logs instance to use for computationpublic GeometricMean copy()
copy
in interface StorelessUnivariateStatistic
copy
in interface UnivariateStatistic
copy
in class AbstractStorelessUnivariateStatistic
public void increment(double d)
increment
in interface StorelessUnivariateStatistic
increment
in class AbstractStorelessUnivariateStatistic
d
- the new value.public double getResult()
getResult
in interface StorelessUnivariateStatistic
getResult
in class AbstractStorelessUnivariateStatistic
Double.NaN
if it
has been cleared or just instantiated.public void clear()
clear
in interface StorelessUnivariateStatistic
clear
in class AbstractStorelessUnivariateStatistic
public double evaluate(double[] values, int begin, int length)
See GeometricMean
for details on the computing algorithm.
Throws IllegalArgumentException
if the array is null.
evaluate
in interface UnivariateStatistic
evaluate
in class AbstractStorelessUnivariateStatistic
values
- input array containing the valuesbegin
- first array element to includelength
- the number of elements to includejava.lang.IllegalArgumentException
- if the input array is null or the array
index parameters are not validUnivariateStatistic.evaluate(double[], int, int)
public long getN()
getN
in interface StorelessUnivariateStatistic
public void setSumLogImpl(StorelessUnivariateStatistic sumLogImpl)
Sets the implementation for the sum of logs.
This method must be activated before any data has been added - i.e.,
before increment
has been used to add data;
otherwise an IllegalStateException will be thrown.
sumLogImpl
- the StorelessUnivariateStatistic instance to use
for computing the log sumjava.lang.IllegalStateException
- if data has already been added
(i.e if n > 0)public StorelessUnivariateStatistic getSumLogImpl()
public static void copy(GeometricMean source, GeometricMean dest)
Neither source nor dest can be null.
source
- GeometricMean to copydest
- GeometricMean to copy tojava.lang.NullPointerException
- if either source or dest is null"Copyright © 2010 - 2020 Adobe Systems Incorporated. All Rights Reserved"