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riso.distributions
Class IndexedDistribution  

java.lang.Object
  riso.distributions.AbstractConditionalDistribution
      riso.distributions.IndexedDistribution

All Implemented Interfaces:

ConditionalDistribution, java.io.Serializable

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public class IndexedDistribution

extends AbstractConditionalDistribution

An instance of this class represents a set of conditional distributions which are indexed by one or more discrete variables.

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Field Summary
private  double[]	c2           Allocate this only once; contains non-index values for p().
ConditionalDistribution[]	components           List of conditional distributions indexed within this distribution.
private  java.lang.String	components_string           Put off parsing the components until they are needed, since the parsing cannot be done before the whole belief network has been parsed, because we need a pointer to each parent and those pointers haven't been assigned when Variable.pretty_input is called.
int[]	index_dimensions           Dimensions of the parents which are indexes.
(package private)  java.lang.String[]	index_names           List of the names of the parents which are indexes.
int[]	indexes           List of which parents are indexes.
int[]	non_indexes           List of which parents are NOT indexes.

 

Fields inherited from class riso.distributions.AbstractConditionalDistribution

associated_variable

 

Constructor Summary

IndexedDistribution()

 

Method Summary
(package private)  void	assign_indexes()           Uses information about parents to cache indexing lists.
void	check_components()           If the components' descriptions have not yet been parsed, do so now.
java.lang.Object	clone()           Return a deep copy of this object.
java.lang.String	format_string(java.lang.String leading_ws)           Create a description of this indexed distribution model as a string.
Distribution	get_density(double[] c)           For a given value c of the parents, return a distribution which represents p(x|C=c).
int	ndimensions_child()           Return the number of dimensions of the child variable.
int	ndimensions_parent()           Return the number of dimensions of the parent variables.
double	p(double[] x, double[] c)           Compute the density at the point x.
(package private)  void	parse_components_string()           Parse the string representation of the components of this indexed distribution.
void	pretty_input(riso.general.SmarterTokenizer st)           Read a description of this indexed distribution from an input stream.
double[]	random(double[] c)           Return an instance of a random variable from this distribution.

 

Methods inherited from class riso.distributions.AbstractConditionalDistribution

get_nstates, parse_string, pretty_output, set_variable, toString

 

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

 

Field Detail

index_names

java.lang.String[] index_names

List of the names of the parents which are indexes.

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indexes

public int[] indexes

List of which parents are indexes. E.g., if the parents are X, Y, Z, and W, and the first and third are indexes, then the list has 2 elements, namely 0 and 2.

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non_indexes

public int[] non_indexes

List of which parents are NOT indexes. E.g., if the parents are X, Y, Z, and W, and the first and third are indexes, then the list has 2 elements, namely 1 and 3.

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index_dimensions

public int[] index_dimensions

Dimensions of the parents which are indexes. E.g., if one parent is an index which takes on 10 values (0 through 9), and another takes on 7 values, and a third index takes on 13 values, then this list has 3 elements, 7, 10, and 13.

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components

public ConditionalDistribution[] components

List of conditional distributions indexed within this distribution. The list is stored flat, in row-major order.

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components_string

private java.lang.String components_string

Put off parsing the components until they are needed, since the parsing cannot be done before the whole belief network has been parsed, because we need a pointer to each parent and those pointers haven't been assigned when Variable.pretty_input is called.

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c2

private double[] c2

Allocate this only once; contains non-index values for p().

Constructor Detail

IndexedDistribution

public IndexedDistribution()

Method Detail

check_components

public void check_components()
                      throws java.io.IOException,
                             java.lang.IllegalArgumentException

If the components' descriptions have not yet been parsed, do so now. If components are already parsed, do nothing.

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clone

public java.lang.Object clone()
                       throws java.lang.CloneNotSupportedException

Return a deep copy of this object.

Specified by:

clone in interface ConditionalDistribution

Overrides:

clone in class AbstractConditionalDistribution

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ndimensions_child

public int ndimensions_child()

Return the number of dimensions of the child variable.

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ndimensions_parent

public int ndimensions_parent()

Return the number of dimensions of the parent variables. If there is more than one parent, this is the sum of the dimensions of the parent variables.

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get_density

public Distribution get_density(double[] c)
                         throws java.lang.Exception

For a given value c of the parents, return a distribution which represents p(x|C=c). Executing get_density(c). p(x) will yield the same result as p(x,c).

In the case of indexed distributions, we'll use the indexes in c to obtain the distribution q of interest, then use the rest of the elements (call them c2 collectively) to obtain q.get_density(c2).

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p

public double p(double[] x,
                double[] c)
         throws java.lang.Exception

Compute the density at the point x.

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random

public double[] random(double[] c)
                throws java.lang.Exception

Return an instance of a random variable from this distribution.

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format_string

public java.lang.String format_string(java.lang.String leading_ws)
                               throws java.io.IOException

Create a description of this indexed distribution model as a string. This is a full description, suitable for printing, containing newlines and indents.

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pretty_input

public void pretty_input(riso.general.SmarterTokenizer st)
                  throws java.io.IOException

Read a description of this indexed distribution from an input stream. This is intended for input from a human-readable source; this is different from object serialization.

Overrides:

pretty_input in class AbstractConditionalDistribution

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parse_components_string

void parse_components_string()
                       throws java.io.IOException

Parse the string representation of the components of this indexed distribution. The string was saved by pretty_input, since it could not be parsed then. See components_string.

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assign_indexes

void assign_indexes()
              throws java.lang.IllegalArgumentException,
                     java.rmi.RemoteException,
                     java.lang.Exception

Uses information about parents to cache indexing lists. This method can only be called after parent references have been assigned within the belief network.

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Overview  Package   Class  Use  Deprecated  Index
Home >> All >> riso >> [ distributions overview ]	PREV CLASS  NEXT CLASS
SUMMARY:  JAVADOC |  SOURCE |  DOWNLOAD | NESTED | FIELD | CONSTR | METHOD	DETAIL: FIELD | CONSTR | METHOD

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