Modifier and Type | Field and Description |
---|---|
protected Database |
InferenceApplication.db |
Modifier and Type | Method and Description |
---|---|
protected PersistedAtomManager |
InferenceApplication.createAtomManager(Database db) |
protected PersistedAtomManager |
LazyMPEInference.createAtomManager(Database db) |
static InferenceApplication |
InferenceApplication.getInferenceApplication(String className,
Model model,
Database db)
Construct an inference application given the data.
|
Constructor and Description |
---|
DCDStreamingInference(Model model,
Database db) |
InferenceApplication(Model model,
Database db) |
LazyMPEInference(Model model,
Database db) |
MPEInference(Model model,
Database db) |
SGDStreamingInference(Model model,
Database db) |
Modifier and Type | Field and Description |
---|---|
protected Database |
WeightLearningApplication.observedDB |
protected Database |
WeightLearningApplication.rvDB |
Modifier and Type | Method and Description |
---|---|
static WeightLearningApplication |
WeightLearningApplication.getWLA(String name,
List<Rule> rules,
Database randomVariableDatabase,
Database observedTruthDatabase)
Construct a weight learning application given the data.
|
Constructor and Description |
---|
TrainingMap(PersistedAtomManager rvAtomManager,
Database observedDB,
boolean fetchObservedPairs)
Initializes the training map of RandomVariableAtoms ObservedAtoms.
|
VotedPerceptron(List<Rule> rules,
Database rvDB,
Database observedDB,
boolean supportsLatentVariables) |
WeightLearningApplication(List<Rule> rules,
Database rvDB,
Database observedDB,
boolean supportsLatentVariables) |
Constructor and Description |
---|
GaussianProcessPrior(List<Rule> rules,
Database rvDB,
Database observedDB) |
GaussianProcessPrior(Model model,
Database rvDB,
Database observedDB) |
Constructor and Description |
---|
ExpectationMaximization(List<Rule> rules,
Database rvDB,
Database observedDB) |
HardEM(List<Rule> rules,
Database rvDB,
Database observedDB) |
HardEM(Model model,
Database rvDB,
Database observedDB) |
PairedDualLearner(List<Rule> rules,
Database rvDB,
Database observedDB) |
PairedDualLearner(Model model,
Database rvDB,
Database observedDB) |
Constructor and Description |
---|
LazyMaxLikelihoodMPE(List<Rule> rules,
Database rvDB,
Database observedDB) |
LazyMaxLikelihoodMPE(Model model,
Database rvDB,
Database observedDB) |
MaxLikelihoodMPE(List<Rule> rules,
Database rvDB,
Database observedDB) |
MaxLikelihoodMPE(Model model,
Database rvDB,
Database observedDB) |
MaxPiecewisePseudoLikelihood(List<Rule> rules,
Database rvDB,
Database observedDB) |
MaxPiecewisePseudoLikelihood(Model model,
Database rvDB,
Database observedDB) |
MaxPseudoLikelihood(List<Rule> rules,
Database rvDB,
Database observedDB) |
MaxPseudoLikelihood(Model model,
Database rvDB,
Database observedDB) |
Constructor and Description |
---|
Hyperband(List<Rule> rules,
Database rvDB,
Database observedDB) |
Hyperband(Model model,
Database rvDB,
Database observedDB) |
InitialWeightHyperband(List<Rule> rules,
Database rvDB,
Database observedDB) |
InitialWeightHyperband(Model model,
Database rvDB,
Database observedDB) |
Modifier and Type | Method and Description |
---|---|
Database |
DataStore.getDatabase(Partition write,
Partition... read)
Creates a Database that can read from and write to a
Partition and
optionally read from additional Partitions. |
Database |
DataStore.getDatabase(Partition write,
Set<StandardPredicate> toClose,
Partition... read)
Creates a Database that can read from and write to a
Partition and
optionally read from additional Partitions. |
Database |
DataStore.getDatabase(Partition write,
StandardPredicate[] toClose,
Partition... read) |
Modifier and Type | Method and Description |
---|---|
Iterable<Database> |
DataStore.getOpenDatabases()
Get all the currenly open databases associated with this data store.
|
Modifier and Type | Field and Description |
---|---|
protected Database |
AtomCache.db |
protected Database |
AtomManager.db |
Modifier and Type | Method and Description |
---|---|
Database |
AtomManager.getDatabase() |
Constructor and Description |
---|
AtomCache(Database db)
Constructs a new AtomCache for a Database.
|
AtomManager(Database db) |
LazyAtomManager(Database db) |
PersistedAtomManager(Database db) |
PersistedAtomManager(Database db,
boolean prebuiltCache)
Constructs a PersistedAtomManager with a built-in set of all the database's persisted RandomVariableAtoms.
|
SimpleAtomManager(Database db) |
Modifier and Type | Class and Description |
---|---|
class |
RDBMSDatabase
A view on the datastore with specific partitions activated.
|
Modifier and Type | Method and Description |
---|---|
Database |
RDBMSDataStore.getDatabase(Partition write,
Partition... read) |
Database |
RDBMSDataStore.getDatabase(Partition write,
Set<StandardPredicate> toClose,
Partition... read) |
Database |
RDBMSDataStore.getDatabase(Partition write,
StandardPredicate[] toClose,
Partition... read) |
Modifier and Type | Method and Description |
---|---|
Iterable<Database> |
RDBMSDataStore.getOpenDatabases() |
Modifier and Type | Method and Description |
---|---|
void |
Evaluator.compute(Database rvDB,
Database truthDB,
StandardPredicate predicate) |
void |
Evaluator.compute(Database rvDB,
Database truthDB,
StandardPredicate predicate,
boolean rvDBCached)
A convenience call for those who don't want to create a training map directly.
|
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