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java.lang.Objectumontreal.iro.lecuyer.probdist.DistributionFactory
public class DistributionFactory
This class implements a string API for the package probdist. It uses Java Reflection to allow the creation of probability distribution objects from a string. This permits one to obtain distribution specifications from a file or dynamically from user input during program execution. This string API is similar to that of UNURAN.
The (static) methods of this class invoke the constructor specified in the string. For example,
The string that specifies the distribution (i.e., the formal parameter
str of the methods) must be a valid call of the constructor
of a class that extends ContinuousDistribution
or
DiscreteDistribution
, and all parameter values must be numerical
values (variable names are not allowed).
Method Summary | |
---|---|
static ContinuousDistribution |
getContinuousDistribution(String str)
Uses the Java Reflection API to construct a ContinuousDistribution
object by executing the code contained in the string str. |
static DiscreteDistribution |
getDiscreteDistribution(String str)
Same as getContinuousDistribution , but for discrete distributions
over the real numbers. |
static DiscreteDistributionInt |
getDiscreteDistributionInt(String str)
Same as getContinuousDistribution , but for discrete distributions
over the integers. |
static ContinuousDistribution |
getDistribution(Class distClass,
double[] x,
int n)
Uses the Java Reflection API to construct a ContinuousDistribution
object by estimating parameters of the distribution using the maximum likelihood
method based on the n observations in table x[i],
i = 0, 1,…, n - 1. |
static DiscreteDistributionInt |
getDistribution(Class distClass,
int[] x,
int n)
Uses the Java Reflection API to construct a DiscreteDistributionInt
object by estimating parameters of the distribution using the maximum likelihood
method based on the n observations in table x[i],
i = 0, 1,…, n - 1. |
static Distribution |
getDistribution(String str)
|
static ContinuousDistribution |
getDistribution(String distName,
double[] x,
int n)
Uses the Java Reflection API to construct a ContinuousDistribution
object by estimating parameters of the distribution using the maximum likelihood
method based on the n observations in table x[i],
i = 0, 1,…, n - 1. |
static DiscreteDistributionInt |
getDistribution(String distName,
int[] x,
int n)
Uses the Java Reflection API to construct a DiscreteDistributionInt
object by estimating parameters of the distribution using the maximum likelihood
method based on the n observations in table x[i],
i = 0, 1,…, n - 1. |
Methods inherited from class java.lang.Object |
---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Method Detail |
---|
public static Distribution getDistribution(String str)
public static ContinuousDistribution getDistribution(String distName, double[] x, int n)
ContinuousDistribution
object by estimating parameters of the distribution using the maximum likelihood
method based on the n observations in table x[i],
i = 0, 1,…, n - 1.
distName
- the name of the distribution to instanciatex
- the list of observations to use to evaluate parametersn
- the number of observations to use to evaluate parameterspublic static DiscreteDistributionInt getDistribution(String distName, int[] x, int n)
DiscreteDistributionInt
object by estimating parameters of the distribution using the maximum likelihood
method based on the n observations in table x[i],
i = 0, 1,…, n - 1.
distName
- the name of the distribution to instanciatex
- the list of observations to use to evaluate parametersn
- the number of observations to use to evaluate parameterspublic static ContinuousDistribution getDistribution(Class distClass, double[] x, int n)
ContinuousDistribution
object by estimating parameters of the distribution using the maximum likelihood
method based on the n observations in table x[i],
i = 0, 1,…, n - 1.
distClass
- the class of the distribution to instanciatex
- the list of observations to use to evaluate parametersn
- the number of observations to use to evaluate parameterspublic static DiscreteDistributionInt getDistribution(Class distClass, int[] x, int n)
DiscreteDistributionInt
object by estimating parameters of the distribution using the maximum likelihood
method based on the n observations in table x[i],
i = 0, 1,…, n - 1.
distClass
- the class of the distribution to instanciatex
- the list of observations to use to evaluate parametersn
- the number of observations to use to evaluate parameterspublic static ContinuousDistribution getContinuousDistribution(String str)
ContinuousDistribution
object by executing the code contained in the string str.
This code should be a valid invocation of the constructor of a
ContinuousDistribution
object.
This method throws exceptions if it cannot parse the given string and
returns null if the distribution object could not be created due to
a Java-specific instantiation problem.
str
- string that contains a call to the constructor of a continuous
distribution
IllegalArgumentException
- if parsing problems occured
when reading str
ClassCastException
- if the distribution string does not represent
a continuous distributionpublic static DiscreteDistribution getDiscreteDistribution(String str)
getContinuousDistribution
, but for discrete distributions
over the real numbers.
str
- string that contains a call to the constructor of a discrete
distribution
IllegalArgumentException
- if parsing problems occured when
reading str
ClassCastException
- if the distribution string does not represent
a discrete distributionpublic static DiscreteDistributionInt getDiscreteDistributionInt(String str)
getContinuousDistribution
, but for discrete distributions
over the integers.
str
- string that contains a call to the constructor of a discrete
distribution
IllegalArgumentException
- if parsing problems occured when
reading str
ClassCastException
- if the distribution string does not represent
a discrete distribution
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