Package ch.idsia.credici.learning

Class FrequentistCausalEM

java.lang.Object

ch.idsia.crema.learning.ExpectationMaximization<ch.idsia.crema.factor.bayesian.BayesianFactor,M>

ch.idsia.crema.learning.DiscreteEM<FrequentistCausalEM>

ch.idsia.credici.learning.FrequentistCausalEM

public class FrequentistCausalEM
extends ch.idsia.crema.learning.DiscreteEM<FrequentistCausalEM>

Field Summary

Fields inherited from class ch.idsia.crema.learning.ExpectationMaximization

inferenceEngine, inline, intermediateModels, klthreshold, performedIterations, posteriorModel, priorModel, recordIntermediate, stopAtConvergence, trainableVars, updated, verbose

Constructor Summary

Constructors

Constructor	Description
FrequentistCausalEM(StructuralCausalModel model, ch.idsia.crema.inference.JoinInference<ch.idsia.crema.factor.bayesian.BayesianFactor,ch.idsia.crema.factor.bayesian.BayesianFactor> inferenceEngine)
FrequentistCausalEM(ch.idsia.crema.model.GraphicalModel<ch.idsia.crema.factor.bayesian.BayesianFactor> model)
FrequentistCausalEM(ch.idsia.crema.model.GraphicalModel<ch.idsia.crema.factor.bayesian.BayesianFactor> model, int[] elimSeq)

Method Summary

Modifier and Type	Method	Description
protected gnu.trove.map.TIntObjectMap<ch.idsia.crema.factor.bayesian.BayesianFactor>	expectation(gnu.trove.map.TIntIntMap[] observations)
double	getRegularization()
static void	main(String[] args)
FrequentistCausalEM	setRegularization(double regularization)
FrequentistCausalEM	setTrainableVars(int[] trainableVars)
protected void	stepPrivate(Collection stepArgs)
FrequentistCausalEM	usePosteriorCache(boolean active)

Methods inherited from class ch.idsia.crema.learning.DiscreteEM

getDefaultInference

Methods inherited from class ch.idsia.crema.learning.ExpectationMaximization

addIntermediateModels, getInferenceEngine, getIntermediateModels, getKlthreshold, getPerformedIterations, getPosterior, getTrainableVars, isRecordIntermediate, isStopAtConvergence, isVerbose, run, setInferenceEngine, setInline, setKlthreshold, setPerformedIterations, setRecordIntermediate, setStopAtConvergence, setUpdated, setVerbose, step

Methods inherited from class java.lang.Object

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

Constructor Detail

FrequentistCausalEM

public FrequentistCausalEM(StructuralCausalModel model,
                           ch.idsia.crema.inference.JoinInference<ch.idsia.crema.factor.bayesian.BayesianFactor,ch.idsia.crema.factor.bayesian.BayesianFactor> inferenceEngine)

FrequentistCausalEM

public FrequentistCausalEM(ch.idsia.crema.model.GraphicalModel<ch.idsia.crema.factor.bayesian.BayesianFactor> model,
                           int[] elimSeq)

FrequentistCausalEM

public FrequentistCausalEM(ch.idsia.crema.model.GraphicalModel<ch.idsia.crema.factor.bayesian.BayesianFactor> model)

Method Detail

stepPrivate

protected void stepPrivate(Collection stepArgs)
                    throws InterruptedException

Specified by:

stepPrivate in class ch.idsia.crema.learning.ExpectationMaximization<ch.idsia.crema.factor.bayesian.BayesianFactor,FrequentistCausalEM>

Throws:

InterruptedException

expectation

protected gnu.trove.map.TIntObjectMap<ch.idsia.crema.factor.bayesian.BayesianFactor> expectation(gnu.trove.map.TIntIntMap[] observations)
                                                                                          throws InterruptedException

Throws:

InterruptedException

setRegularization

public FrequentistCausalEM setRegularization(double regularization)

getRegularization

public double getRegularization()

setTrainableVars

public FrequentistCausalEM setTrainableVars(int[] trainableVars)

Overrides:

setTrainableVars in class ch.idsia.crema.learning.ExpectationMaximization<ch.idsia.crema.factor.bayesian.BayesianFactor,FrequentistCausalEM>

usePosteriorCache

public FrequentistCausalEM usePosteriorCache(boolean active)

main

public static void main(String[] args)
                 throws InterruptedException

Throws:

InterruptedException