public class Product extends AbstractStorelessUnivariateStatistic implements Serializable, WeightedEvaluation
If there are no values in the dataset, then 1 is returned.
If any of the values are
NaN, then NaN is returned.
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 |
|---|
Product()
Create a Product instance
|
Product(Product original)
Copy constructor, creates a new
Product identical
to the original |
| Modifier and Type | Method and Description |
|---|---|
void |
clear()
Clears the internal state of the Statistic
|
Product |
copy()
Returns a copy of the statistic with the same internal state.
|
static void |
copy(Product source,
Product dest)
Copies source to dest.
|
double |
evaluate(double[] values,
double[] weights)
Returns the weighted product of the entries in the input array.
|
double |
evaluate(double[] values,
double[] weights,
int begin,
int length)
Returns the weighted product of the entries in the specified portion of
the input array, or
Double.NaN if the designated subarray
is empty. |
double |
evaluate(double[] values,
int begin,
int length)
Returns the product of the entries in the specified portion of
the input array, or
Double.NaN if the designated subarray
is empty. |
long |
getN()
Returns the number of values that have been added.
|
double |
getResult()
Returns the current value of the Statistic.
|
void |
increment(double d)
Updates the internal state of the statistic to reflect the addition of the new value.
|
equals, evaluate, hashCode, incrementAll, incrementAllevaluate, getData, getDataRef, setData, setData, test, test, test, testpublic Product()
public Product(Product original) throws NullArgumentException
Product identical
to the originaloriginal - the Product instance to copyNullArgumentException - if original is nullpublic void increment(double d)
increment in interface StorelessUnivariateStatisticincrement in class AbstractStorelessUnivariateStatisticd - the new value.public double getResult()
getResult in interface StorelessUnivariateStatisticgetResult in class AbstractStorelessUnivariateStatisticDouble.NaN if it
has been cleared or just instantiated.public long getN()
getN in interface StorelessUnivariateStatisticpublic void clear()
clear in interface StorelessUnivariateStatisticclear in class AbstractStorelessUnivariateStatisticpublic double evaluate(double[] values,
int begin,
int length)
throws MathIllegalArgumentException
Double.NaN if the designated subarray
is empty.
Throws MathIllegalArgumentException if the array is null.
evaluate in interface UnivariateStatisticevaluate in interface MathArrays.Functionevaluate in class AbstractStorelessUnivariateStatisticvalues - the input arraybegin - index of the first array element to includelength - the number of elements to includeMathIllegalArgumentException - if the array is null or the array index
parameters are not validUnivariateStatistic.evaluate(double[], int, int)public double evaluate(double[] values,
double[] weights,
int begin,
int length)
throws MathIllegalArgumentException
Returns the weighted product of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
Throws MathIllegalArgumentException if any of the following are true:
Uses the formula,
weighted product = ∏values[i]weights[i]
that is, the weights are applied as exponents when computing the weighted product.evaluate in interface WeightedEvaluationvalues - the input arrayweights - the weights arraybegin - index of the first array element to includelength - the number of elements to includeMathIllegalArgumentException - if the parameters are not validpublic double evaluate(double[] values,
double[] weights)
throws MathIllegalArgumentException
Returns the weighted product of the entries in the input array.
Throws MathIllegalArgumentException if any of the following are true:
Uses the formula,
weighted product = ∏values[i]weights[i]
that is, the weights are applied as exponents when computing the weighted product.evaluate in interface WeightedEvaluationvalues - the input arrayweights - the weights arrayMathIllegalArgumentException - if the parameters are not validpublic Product copy()
copy in interface StorelessUnivariateStatisticcopy in interface UnivariateStatisticcopy in class AbstractStorelessUnivariateStatisticpublic static void copy(Product source, Product dest) throws NullArgumentException
Neither source nor dest can be null.
source - Product to copydest - Product to copy toNullArgumentException - if either source or dest is nullCopyright © 2003–2016 The Apache Software Foundation. All rights reserved.