Package | Description |
---|---|
org.linqs.psl.application.inference | |
org.linqs.psl.application.inference.mpe | |
org.linqs.psl.application.learning.weight |
Modifier and Type | Method and Description |
---|---|
static InferenceApplication |
InferenceApplication.getInferenceApplication(String className,
List<Rule> rules,
Database db)
Construct an inference application given the data.
|
Modifier and Type | Class and Description |
---|---|
class |
ADMMInference
Use an ADMM reasoner to perform MPE inference.
|
class |
DCDInference
Use an DCD reasoner to perform MPE inference.
|
class |
DCDStreamingInference
Use streaming grounding and inference with a DCD reasoner.
|
class |
LazyMPEInference
Performs MPE inference (see MPEInference), but does not require all ground atoms to be
specified ahead of time.
|
class |
MPEInference
Infers the most-probable explanation (MPE) state of the
RandomVariableAtoms persisted in a Database,
according to the rules, given the Database's ObservedAtoms.
|
class |
SGDInference
Use an SGD reasoner to perform MPE inference.
|
class |
SGDStreamingInference
Use streaming grounding and inference with an SGD reasoner.
|
Modifier and Type | Field and Description |
---|---|
protected InferenceApplication |
WeightLearningApplication.inference |
Modifier and Type | Method and Description |
---|---|
InferenceApplication |
WeightLearningApplication.getInferenceApplication() |
Modifier and Type | Method and Description |
---|---|
void |
WeightLearningApplication.initGroundModel(InferenceApplication inference,
TrainingMap trainingMap)
Pass in all the ground model infrastructure.
|
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