edu.umd.cs.psl.application.learning.weight.random

Class GroundSliceRandOM

java.lang.Object

java.util.Observable

edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

All Implemented Interfaces:

ModelApplication

Direct Known Subclasses:

UnforgivingGroundSliceRandOM

public class GroundSliceRandOM
extends SliceRandOM

A SliceRandOM learning algorithm that samples a different weight for each GroundCompatibilityKernel but all those with the same parent CompatibilityKernel share a mean and a variance.

Author:

Stephen Bach

Field Summary

Fields

Modifier and Type	Field and Description
static String	CONFIG_PREFIX Prefix of property keys used by this class.
protected int[]	cumulativeGroundings
protected double	current
protected double[]	currentWeights
protected GroundCompatibilityKernel[]	gks
protected double	l
protected int	maxNumSteps
protected int	nextGroundKernel
protected double[]	previousWeights
static String	PROPOSAL_VARIANCE Key for positive double to be used as variance in proposal distribution
static double	PROPOSAL_VARIANCE_DEFAULT Default value for PROPOSAL_VARIANCE
protected double	proposalVariance
protected double	r
protected double	stepSize
protected double[]	sum
protected double[]	sumSq

Fields inherited from class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

BURN_IN_DEFAULT, BURN_IN_KEY, burnIn, CHANGE_THRESHOLD_DEFAULT, CHANGE_THRESHOLD_KEY, changeThresholdFactor, INITIAL_VARIANCE_DEFAULT, INITIAL_VARIANCE_KEY, initialVariance, kernelMeans, kernelVariances, MAX_ITER_DEFAULT, MAX_ITER_KEY, maxIter, NUM_SAMPLES_DEFAULT, NUM_SAMPLES_KEY, numSamples, OBSERVATION_DENSITY_SCALE_DEFAULT, OBSERVATION_DENSITY_SCALE_KEY, observationScale, rand, sliceHeight

Fields inherited from class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

config, immutableKernels, kernels, model, observedDB, reasoner, REASONER_DEFAULT, REASONER_KEY, rvDB, trainingMap

Constructor Summary

Constructors

Constructor and Description
GroundSliceRandOM(Model model, Database rvDB, Database observedDB, ConfigBundle config)

Method Summary

Methods

Modifier and Type	Method and Description
protected void	doLearn()
protected void	finishRound()
protected double	getLogLikelihoodSampledWeights()
protected int	getNumStepsPerSample()
protected void	prepareForRound()
protected void	processSample()
protected double	stepIn() Samples a point from the slice inside the region.
protected void	stepOut() Finds a region containing most or all of the slice at the current value of SliceRandOM.sliceHeight.

Methods inherited from class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

getLogLikelihoodObservations

Methods inherited from class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

cleanUpGroundModel, close, initGroundModel, learn, setLabeledRandomVariables

Methods inherited from class java.util.Observable

addObserver, clearChanged, countObservers, deleteObserver, deleteObservers, hasChanged, notifyObservers, notifyObservers, setChanged

Methods inherited from class java.lang.Object

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

Field Detail

CONFIG_PREFIX

public static final String CONFIG_PREFIX

Prefix of property keys used by this class.

See Also:

ConfigManager, Constant Field Values

PROPOSAL_VARIANCE

public static final String PROPOSAL_VARIANCE

Key for positive double to be used as variance in proposal distribution

See Also:

Constant Field Values

PROPOSAL_VARIANCE_DEFAULT

public static final double PROPOSAL_VARIANCE_DEFAULT

Default value for PROPOSAL_VARIANCE

See Also:

Constant Field Values

gks

protected GroundCompatibilityKernel[] gks

cumulativeGroundings

protected int[] cumulativeGroundings

currentWeights

protected double[] currentWeights

previousWeights

protected double[] previousWeights

sum

protected double[] sum

sumSq

protected double[] sumSq

proposalVariance

protected double proposalVariance

nextGroundKernel

protected int nextGroundKernel

current

protected double current

l

protected double l

r

protected double r

stepSize

protected final double stepSize

See Also:

Constant Field Values

maxNumSteps

protected final int maxNumSteps

See Also:

Constant Field Values

Constructor Detail

GroundSliceRandOM

public GroundSliceRandOM(Model model,
                 Database rvDB,
                 Database observedDB,
                 ConfigBundle config)

Method Detail

doLearn

protected void doLearn()

Overrides:

doLearn in class SliceRandOM

prepareForRound

protected void prepareForRound()

Specified by:

prepareForRound in class SliceRandOM

getNumStepsPerSample

protected int getNumStepsPerSample()

Specified by:

getNumStepsPerSample in class SliceRandOM

stepOut

protected void stepOut()

Description copied from class: SliceRandOM

Finds a region containing most or all of the slice at the current value of SliceRandOM.sliceHeight.

Specified by:

stepOut in class SliceRandOM

stepIn

protected double stepIn()

Description copied from class: SliceRandOM

Samples a point from the slice inside the region.

Specified by:

stepIn in class SliceRandOM

Returns:

log-likelihood of sampled point

getLogLikelihoodSampledWeights

protected double getLogLikelihoodSampledWeights()

Specified by:

getLogLikelihoodSampledWeights in class SliceRandOM

processSample

protected void processSample()

Specified by:

processSample in class SliceRandOM

finishRound

protected void finishRound()

Specified by:

finishRound in class SliceRandOM