com.bayesserver

Class MultipleIterator

java.lang.Object

com.bayesserver.MultipleIterator

public final class MultipleIterator
extends Object

Provides methods to iterate over multiple distributions.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	MultipleIterator.Combination

Method Summary

Modifier and Type	Method and Description
static void	iterate(VariableContextCollection[] subsets, int[] subsetRows, MultipleIterator.Combination combination) Iterates over all the variables and their states found in [subsets].
static void	iterate(VariableContextCollection supersetVariables, VariableContextCollection[] subsets, int[] subsetRows, MultipleIterator.Combination combination) Iterates over all the variables and their states found in [subsets].

Methods inherited from class java.lang.Object

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

Method Detail

iterate

public static void iterate(VariableContextCollection[] subsets,
                           int[] subsetRows,
                           MultipleIterator.Combination combination)

Iterates over all the variables and their states found in [subsets]. At each iteration [combination] is called, and [subsetRows] contains the equivalent row in each subset.

Parameters:

subsets - The distribution to iterate over.

subsetRows - Contains the equivalent row in each subset at a particular iteration (combination).

combination - A method which is called for each iteration.

iterate

public static void iterate(VariableContextCollection supersetVariables,
                           VariableContextCollection[] subsets,
                           int[] subsetRows,
                           MultipleIterator.Combination combination)

Iterates over all the variables and their states found in [subsets]. At each iteration [combination] is called, and [subsetRows] contains the equivalent row in each subset.

Parameters:

supersetVariables - The collection of unique variables (and maybe times) contained in the subsets.

subsets - The distribution who want to iterate over.

subsetRows - Contains the equivalent row in each subset at a particular iteration (combination).

combination - A method which is called for each iteration.