public class MaxLikelihoodMPE extends VotedPerceptron
AVERAGE_STEPS_DEFAULT, AVERAGE_STEPS_KEY, averageSteps, baseStepSize, CLIP_NEGATIVE_WEIGHTS_DEFAULT, CLIP_NEGATIVE_WEIGHTS_KEY, clipNegativeWeights, CONFIG_PREFIX, CUT_OBJECTIVE_DEFAULT, CUT_OBJECTIVE_KEY, cutObjective, inertia, INERTIA_DEFAULT, INERTIA_KEY, L1_REGULARIZATION_DEFAULT, L1_REGULARIZATION_KEY, l1Regularization, L2_REGULARIZATION_DEFAULT, L2_REGULARIZATION_KEY, l2Regularization, maxNumSteps, NUM_STEPS_DEFAULT, NUM_STEPS_KEY, numSteps, SCALE_GRADIENT_DEFAULT, SCALE_GRADIENT_KEY, SCALE_STEP_SIZE_DEFAULT, SCALE_STEP_SIZE_KEY, scaleGradient, scaleStepSize, STEP_SIZE_DEFAULT, STEP_SIZE_KEY, ZERO_INITIAL_WEIGHTS_DEFAULT, ZERO_INITIAL_WEIGHTS_KEY, zeroInitialWeights
allRules, atomManager, evaluator, EVALUATOR_DEFAULT, EVALUATOR_KEY, expectedIncompatibility, GROUND_RULE_STORE_DEFAULT, GROUND_RULE_STORE_KEY, groundRuleStore, inLatentMPEState, inMPEState, latentGroundRuleStore, latentTermStore, MAX_RANDOM_WEIGHT, MIN_ADMM_STEPS, mutableRules, observedDB, observedIncompatibility, RANDOM_WEIGHTS_DEFAULT, RANDOM_WEIGHTS_KEY, reasoner, REASONER_DEFAULT, REASONER_KEY, rvDB, supportsLatentVariables, TERM_GENERATOR_DEFAULT, TERM_GENERATOR_KEY, TERM_STORE_DEFAULT, TERM_STORE_KEY, termGenerator, termStore, trainingMap
Constructor and Description |
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MaxLikelihoodMPE(List<Rule> rules,
Database rvDB,
Database observedDB) |
MaxLikelihoodMPE(Model model,
Database rvDB,
Database observedDB) |
computeRegularizer, computeScalingFactor, doLearn, getLoss, setBudget
close, computeExpectedIncompatibility, computeLatentMPEState, computeLoss, computeMPEState, computeObservedIncompatibility, createAtomManager, getWLA, initGroundModel, initGroundModel, initGroundModel, initLatentGroundModel, learn, postInitGroundModel, setDefaultRandomVariables, setLabeledRandomVariables
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