|
|||||||||
PREV NEXT | FRAMES NO FRAMES |
Packages that use MRF | |
---|---|
tuffy.ground.partition | Data structures and algorithms for MRF partitioning. |
tuffy.helper | Misc functionalities to help develop MLN programs. |
tuffy.infer | Provides MLN inference algorithms. |
tuffy.learn | Provides weight learning in Tuffy. |
Uses of MRF in tuffy.ground.partition |
---|
Fields in tuffy.ground.partition declared as MRF | |
---|---|
MRF |
Partition.mrf
|
Methods in tuffy.ground.partition that return MRF | |
---|---|
MRF |
PartitionScheme.getMRFByPartID(int pid)
|
Uses of MRF in tuffy.helper |
---|
Methods in tuffy.helper with parameters of type MRF | |
---|---|
static void |
Stats.dumpStats(MRF mrf)
|
static void |
Stats.pullAtomReps(MRF mrf)
|
static java.lang.String |
Stats.reportMostViolatedClauses(MRF mrf,
int k)
|
Uses of MRF in tuffy.infer |
---|
Methods in tuffy.infer that return MRF | |
---|---|
MRF |
DataMover.loadMrfFromDb(MRF mrf,
java.lang.String relAtoms,
java.lang.String relClauses)
Load the entire grounding result into memory as an MRF. |
MRF |
DataMover.loadMrfFromDb(java.lang.String relAtoms,
java.lang.String relClauses)
|
Methods in tuffy.infer with parameters of type MRF | |
---|---|
MRF |
DataMover.loadMrfFromDb(MRF mrf,
java.lang.String relAtoms,
java.lang.String relClauses)
Load the entire grounding result into memory as an MRF. |
Uses of MRF in tuffy.learn |
---|
Methods in tuffy.learn with parameters of type MRF | |
---|---|
void |
Learner.fillInCurrentWeight(MRF _mcsat)
Initialize weight according to the log odd of training data. |
void |
DNLearner.getGradientAndD(MRF mcsat)
Calculate the gradient and H^(-1)g by filling in DNLearner.currentD and DNLearner.currentGradient . |
void |
NaiveGDLearner.loadingTrainingData(MRF _mcsat)
NEVER USE THIS IN REAL CIRCUMSTANCE... |
void |
NaiveDNLearner.loadingTrainingData(MRF _mcsat)
Deprecated. Loading training data's truth value into MRF. |
abstract void |
Learner.loadingTrainingData(MRF _mcsat)
Reading from training data and fill it into atoms . |
void |
DNLearner.loadingTrainingData(MRF _mcsat)
Load training data's truth value into MRF. |
boolean |
NaiveGDLearner.updateWeight(MRF mcsat)
NEVER USE THIS IN REAL CIRCUMSTANCE... |
boolean |
NaiveDNLearner.updateWeight(MRF mcsat)
Deprecated. Updating Learner.currentWeight using Diagonal
Newton method. |
abstract boolean |
Learner.updateWeight(MRF mcsat)
Update Learner.currentWeight to new weights
according to information provided by mcsat instance, e.g.,
MCSAT#expectationOfViolation ; This is a virtual
function, each instance of Learner should materialize
an adhoc version of this function. |
boolean |
DNLearner.updateWeight(MRF mcsat)
Update Learner.currentWeight using Diagonal
Newton method. |
|
|||||||||
PREV NEXT | FRAMES NO FRAMES |