edu.ksu.cis.bnj.bbn.inference.approximate.sampling
Class LogicSampling

java.lang.Object
  edu.ksu.cis.bnj.bbn.inference.Inference
      edu.ksu.cis.bnj.bbn.inference.ApproximateInference
          edu.ksu.cis.bnj.bbn.inference.approximate.sampling.MCMC
              edu.ksu.cis.bnj.bbn.inference.approximate.sampling.LogicSampling

All Implemented Interfaces:

DataGenerator, Optionable

public class LogicSampling

extends MCMC

Logic sampling gets samples by instantiating each node of the network (using the likelihood of each state given the state of the parent nodes) in topological order. Evidence nodes are sampled just like query nodes. nodes does not match the evidence file. Approximate probabilities are computed by looking at how many times each state for each node appeared in the satisfactory samples.

Author:

Roby Joehanes

Field Summary

Fields inherited from class edu.ksu.cis.bnj.bbn.inference.approximate.sampling.MCMC

abort, abortTimer, defaultMaxIteration, generateSamples, listeners, maxIteration, NO_TIME_LIMIT, OPT_GENERATE_DATA, OPT_MAX_ITERATION, OPT_RUNNING_TIME_LIMIT, OPT_USE_MARKOV_BLANKET, random, runningTimeLimit, tuples, useMarkovBlanketScore

Fields inherited from class edu.ksu.cis.bnj.bbn.inference.ApproximateInference

rmseWriter

Fields inherited from class edu.ksu.cis.bnj.bbn.inference.Inference

graph, inferenceClassName, MAP, MARGINALS, marginalsResult, MPE, OPT_RUN_TYPE, options

Fields inherited from interface edu.ksu.cis.kdd.util.gui.Optionable

OPT_OUTPUT_FILE

Constructor Summary

LogicSampling()

LogicSampling(BBNGraph g)
The constructor for LogicSampling, which initializes the graph on which to run inference.

LogicSampling(BBNGraph g, int i)
An alternate constructor, which intializes the graph on which to run inference and the number of samples to use

Method Summary

InferenceResult	getMarginals() Computes the LogicSampling algorithm and calculates the posterior probabilities of the network
java.lang.String	getName() Gets the name of the inference algorithm
static void	main(java.lang.String[] args)

Methods inherited from class edu.ksu.cis.bnj.bbn.inference.approximate.sampling.MCMC

abort, addListener, cancelAbortTimer, generateData, generateData, getData, getDefaultOptions, getMarkovBlanketScore, getMaxIteration, getOptionsDialog, getRunningTimeLimit, isUseMarkovBlanketScore, removeListener, sendEvent, setAbortTimer, setMaxIteration, setRunningTimeLimit, setUseMarkovBlanketScore

Methods inherited from class edu.ksu.cis.bnj.bbn.inference.ApproximateInference

computeRMSE, getRMSEWriter, setRMSEfile

Methods inherited from class edu.ksu.cis.bnj.bbn.inference.Inference

execute, getCurrentOptions, getGraph, getMAP, getMarginalsResult, getMPE, getOutputFile, getRunType, load, setGraph, setOption, setOptions, setOutputFile, setRunType

Methods inherited from class java.lang.Object

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

Constructor Detail

LogicSampling

public LogicSampling()

LogicSampling

public LogicSampling(BBNGraph g)

The constructor for LogicSampling, which initializes the graph on which to run inference.

Parameters:

g - - the BBNGraph on which to run inference

LogicSampling

public LogicSampling(BBNGraph g,
                     int i)

An alternate constructor, which intializes the graph on which to run inference and the number of samples to use

Parameters:

g - - the BBNGraph on which to run inference

i - - the number of samples to generate during inference

Method Detail

getName

public java.lang.String getName()

Gets the name of the inference algorithm

Specified by:

getName in interface DataGenerator

Specified by:

getName in class Inference

Returns:

String - the name of the inference algorithm (LogicSampling)

getMarginals

public InferenceResult getMarginals()

Computes the LogicSampling algorithm and calculates the posterior probabilities of the network

Specified by:

getMarginals in class Inference

Returns:

InferenceResult - contains the posterior probs

See Also:

edu.ksu.cis.bnj.bbn.inference.approximate.sampling.MCMC#getMarginalsImpl(boolean)

main

public static void main(java.lang.String[] args)