public class MaxLikelihoodMPE extends VotedPerceptron
averageSteps, baseStepSize, clipNegativeWeights, cutObjective, expectedIncompatibility, inertia, l1Regularization, l2Regularization, maxNumSteps, numSteps, observedIncompatibility, scaleGradient, scaleStepSize, zeroInitialWeights
allRules, evaluator, inference, inMPEState, mutableRules, observedDB, rvDB, trainingMap
Constructor and Description |
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MaxLikelihoodMPE(List<Rule> rules,
Database rvDB,
Database observedDB) |
MaxLikelihoodMPE(Model model,
Database rvDB,
Database observedDB) |
computeExpectedIncompatibility, computeLoss, computeObservedIncompatibility, computeRegularizer, computeScalingFactor, doLearn, getLoss, postInitGroundModel, setBudget, setDefaultRandomVariables, setLabeledRandomVariables
close, computeMPEState, getInferenceApplication, getWLA, initGroundModel, initGroundModel, learn
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