| Modifier and Type | Method and Description |
|---|---|
Classifier |
MaxEntTrainer.trainWithFeatureInduction(InstanceList trainingData,
InstanceList validationData,
InstanceList testingData,
ClassifierEvaluating evaluator,
MaxEnt maxent,
int totalIterations,
int numIterationsBetweenFeatureInductions,
int numFeatureInductions,
int numFeaturesPerFeatureInduction,
String gainName)
Like the other version of
trainWithFeatureInduction, but
allows some default options to be changed. |
| Modifier and Type | Method and Description |
|---|---|
MaxEnt |
MaxEntSequenceConfidenceEstimator.getClassifier() |
MaxEnt |
MaxEntSequenceConfidenceEstimator.trainClassifier(InstanceList ilist,
String correct,
String incorrect)
Train underlying classifier on
ilist. |
MaxEnt |
MaxEntConfidenceEstimator.trainClassifier(InstanceList ilist,
String correct,
String incorrect) |
| Constructor and Description |
|---|
ClusterLearner(int numEpochs,
Set trainingDocuments,
Pipe p,
MaxEnt classifier,
int yesIndex,
int noIndex) |
ClusterLearnerAvg(int numEpochs,
Set trainingDocuments,
Pipe p,
MaxEnt classifier,
int yI,
int nI) |
| Modifier and Type | Method and Description |
|---|---|
MaxEnt |
CorefClusterAdv.getClassifier() |
MaxEnt |
CorefCluster2.getClassifier() |
MaxEnt |
CorefCluster.getClassifier() |
MaxEnt |
CorefClusterAdv.trainClassifier(InstanceList ilist) |
| Modifier and Type | Method and Description |
|---|---|
void |
CorefClusterAdv.constructEdgesUsingTrainedClusterer(salvo.jesus.graph.WeightedGraph graph,
Instance instPair,
HashMap alreadyAdded,
Double edgeWeight,
MaxEnt classifier) |
static void |
CorefCluster2.constructEdgesUsingTrainedClusterer(salvo.jesus.graph.WeightedGraph graph,
Instance instPair,
HashMap alreadyAdded,
MaxEnt classifier) |
static void |
CorefCluster.constructEdgesUsingTrainedClusterer(salvo.jesus.graph.WeightedGraph graph,
Instance instPair,
HashMap alreadyAdded,
MaxEnt classifier) |
salvo.jesus.graph.WeightedGraph |
CorefClusterAdv.createGraph(InstanceList ilist,
List mentions,
salvo.jesus.graph.WeightedGraph graph,
MaxEnt classifier) |
String |
CorefClusterAdv.printParamDetails(FeatureVector vec,
Classification classification,
MaxEnt classifier) |
void |
CorefClusterAdv.printParams(MaxEnt me) |
void |
CorefClusterAdv.testClassifier(InstanceList tlist,
MaxEnt classifier) |
| Constructor and Description |
|---|
CorefCluster(double threshold,
MaxEnt classifier) |
CorefCluster2(MaxEnt classifier,
Pipe instancePipe) |
CorefClusterAdv(double threshold,
MaxEnt classifier,
Pipe p) |
CorefClusterAdv(double threshold,
MaxEnt classifier,
TreeModel tm,
Pipe p) |
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