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C

close() - Method in class org.linqs.psl.model.predicate.model.NeuralModel

F

fit() - Method in class org.linqs.psl.model.predicate.model.NeuralModel

G

getValue(RandomVariableAtom, int, int) - Method in class org.linqs.psl.model.predicate.model.NeuralModel

I

initialFit() - Method in class org.linqs.psl.model.predicate.model.NeuralModel

L

load(Map<String, String>, String) - Method in class org.linqs.psl.model.predicate.model.NeuralModel

N

NEURAL_TF_BUNDLE_TAG - Static variable in class org.linqs.psl.config.NeuralOptions

NEURAL_TF_FUNCTION_FIT - Static variable in class org.linqs.psl.config.NeuralOptions

NEURAL_TF_FUNCTION_PREDICT - Static variable in class org.linqs.psl.config.NeuralOptions

NEURAL_TF_TENSOR_INPUT - Static variable in class org.linqs.psl.config.NeuralOptions

NEURAL_TF_TENSOR_LABELS - Static variable in class org.linqs.psl.config.NeuralOptions

NEURAL_TF_TENSOR_OUTPUT - Static variable in class org.linqs.psl.config.NeuralOptions

NeuralModel - Class in org.linqs.psl.model.predicate.model

A supporting model that is back by a neural network.

NeuralModel() - Constructor for class org.linqs.psl.model.predicate.model.NeuralModel

NeuralOptions - Class in org.linqs.psl.config

Additional options for the psl-neural module.

O

org.linqs.psl.config - package org.linqs.psl.config

org.linqs.psl.model.predicate.model - package org.linqs.psl.model.predicate.model

R

run() - Method in class org.linqs.psl.model.predicate.model.NeuralModel

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