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

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

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

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

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

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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.

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

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