gPy.Data

Module Data

For storing and retrieving data (contingency tables)

Classes

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Data2
Attempt to implement ADTrees as a single flat dictionary

Data
Factors whose data is stored in a table in an sqlite database

CompactFactor
Factors whose data is not explicity represented (because there's too much of it).

_ADTree
ADTree implementation

_IncrementalADTree

IncrementalCompactFactor

Functions

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_merge_records(destination, source, how)
Given two sets of records, combing them according to the function how source code

tuple

_distribute_records(numvals, depth, records)
For each child at depth depth generate the list of records (children_records) and the number of instances (counts). source code

Variables

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String

_version = '$Id: Data.py,v 1.2 2008/10/07 08:57:06 jc Exp jc $'
Version of this module

Function Details

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_merge_records(destination, source, how)

source code

Given two sets of records, combing them according to the function how

Parameters:

destination (list of tuples whose last element is a positive integer) - the target set of records where the result is stored and the left hand side of how
source (list of tuples whose last element is a positive integer) - the right hand side of how
how (binary function) - operator to combine destination and source

_distribute_records(numvals, depth, records)

source code

For each child at depth depth generate the list of records (children_records) and the number of instances (counts).

Parameters:

numvals (list) - The ith element of this list is the number of values for the ith variable in the tree
records (iterable) - The data as a list. Each element is a tuple of value indices, one for each variable, plus an extra count field as the final element.
depth (int) - The depth of this tree within its containing CompactFactor. Also the index of the variable associated with the top node of this tree

Returns: tuple

A 2-tuple: children_records and counts, as described above.