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Clean up policy gradient implementation and add BCE loss.
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59 changes: 59 additions & 0 deletions
59
...application/learning/weight/gradient/policygradient/PolicyGradientBinaryCrossEntropy.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,59 @@ | ||
| /* | ||
| * This file is part of the PSL software. | ||
| * Copyright 2011-2015 University of Maryland | ||
| * Copyright 2013-2023 The Regents of the University of California | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
| package org.linqs.psl.application.learning.weight.gradient.policygradient; | ||
|
|
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| import org.linqs.psl.database.AtomStore; | ||
| import org.linqs.psl.database.Database; | ||
| import org.linqs.psl.model.atom.ObservedAtom; | ||
| import org.linqs.psl.model.atom.RandomVariableAtom; | ||
| import org.linqs.psl.model.rule.Rule; | ||
| import org.linqs.psl.util.MathUtils; | ||
|
|
||
| import java.util.List; | ||
| import java.util.Map; | ||
|
|
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| /** | ||
| * Learns parameters for a model by minimizing the squared error loss function | ||
| * using the policy gradient learning framework. | ||
| */ | ||
| public class PolicyGradientBinaryCrossEntropy extends PolicyGradient { | ||
| public PolicyGradientBinaryCrossEntropy(List<Rule> rules, Database trainTargetDatabase, Database trainTruthDatabase, | ||
| Database validationTargetDatabase, Database validationTruthDatabase, boolean runValidation) { | ||
| super(rules, trainTargetDatabase, trainTruthDatabase, validationTargetDatabase, validationTruthDatabase, runValidation); | ||
| } | ||
|
|
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| @Override | ||
| protected void computeSupervisedLoss() { | ||
| AtomStore atomStore = trainInferenceApplication.getTermStore().getAtomStore(); | ||
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| supervisedLoss = 0.0f; | ||
| for (Map.Entry<RandomVariableAtom, ObservedAtom> entry: trainingMap.getLabelMap().entrySet()) { | ||
| RandomVariableAtom randomVariableAtom = entry.getKey(); | ||
| ObservedAtom observedAtom = entry.getValue(); | ||
|
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| int atomIndex = atomStore.getAtomIndex(randomVariableAtom); | ||
| if (atomIndex == -1) { | ||
| // This atom is not in the current batch. | ||
| continue; | ||
| } | ||
|
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| supervisedLoss += -1.0f * (observedAtom.getValue() * Math.log(Math.max(atomStore.getAtom(atomIndex).getValue(), MathUtils.EPSILON_FLOAT)) | ||
| + (1.0f - observedAtom.getValue()) * Math.log(Math.max(1.0f - atomStore.getAtom(atomIndex).getValue(), MathUtils.EPSILON_FLOAT))); | ||
| } | ||
| } | ||
| } |
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54 changes: 54 additions & 0 deletions
54
...ication/learning/weight/gradient/policygradient/PolicyGradientBinaryCrossEntropyTest.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,54 @@ | ||
| /* | ||
| * This file is part of the PSL software. | ||
| * Copyright 2011-2015 University of Maryland | ||
| * Copyright 2013-2023 The Regents of the University of California | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
| package org.linqs.psl.application.learning.weight.gradient.policygradient; | ||
|
|
||
| import org.junit.Before; | ||
| import org.junit.Test; | ||
| import org.linqs.psl.application.inference.mpe.DualBCDInference; | ||
| import org.linqs.psl.application.learning.weight.WeightLearningApplication; | ||
| import org.linqs.psl.application.learning.weight.WeightLearningTest; | ||
| import org.linqs.psl.config.Options; | ||
|
|
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| public class PolicyGradientBinaryCrossEntropyTest extends WeightLearningTest { | ||
| @Before | ||
| public void setup() { | ||
| super.setup(); | ||
|
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| Options.WLA_INFERENCE.set(DualBCDInference.class.getName()); | ||
| } | ||
|
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| @Override | ||
| protected WeightLearningApplication getBaseWLA() { | ||
| return new PolicyGradientBinaryCrossEntropy(info.model.getRules(), trainTargetDatabase, trainTruthDatabase, | ||
| validationTargetDatabase, validationTruthDatabase, false); | ||
| } | ||
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| @Test | ||
| public void DualBCDFriendshipRankTest() { | ||
| Options.WLA_INFERENCE.set(DualBCDInference.class.getName()); | ||
|
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| super.friendshipRankTest(); | ||
| } | ||
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| @Test | ||
| public void DistributedDualBCDFriendshipRankTest() { | ||
| Options.WLA_INFERENCE.set(DualBCDInference.class.getName()); | ||
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| super.friendshipRankTest(); | ||
| } | ||
| } |