| Package | Description |
|---|---|
| edu.umass.cs.mallet.base.fst | |
| edu.umass.cs.mallet.projects.seg_plus_coref.ie |
| Modifier and Type | Class and Description |
|---|---|
class |
InstanceAccuracyEvaluator
Reports the percentage of instances for which the entire predicted sequence was
correct.
|
class |
MultiSegmentationEvaluator |
class |
PerClassAccuracyEvaluator |
class |
SegmentationEvaluator |
class |
TokenAccuracyEvaluator |
| Modifier and Type | Method and Description |
|---|---|
void |
CRFByGISUpdate.evaluate(TransducerEvaluator eval,
InstanceList testing)
This method is deprecated.
|
void |
CRF4.evaluate(TransducerEvaluator eval,
InstanceList testing)
This method is deprecated.
|
void |
CRF3.evaluate(TransducerEvaluator eval,
InstanceList testing)
This method is deprecated.
|
static void |
SimpleTagger.test(Transducer model,
TransducerEvaluator eval,
InstanceList testing)
Test a transducer on the given test data, evaluating accuracy
with the given evaluator
|
boolean |
HMM.train(InstanceList ilist,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval) |
boolean |
CRFByGISUpdate.train(InstanceList ilist,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval) |
boolean |
CRF4.train(InstanceList ilist,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval) |
boolean |
CRF3.train(InstanceList ilist,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval) |
boolean |
CRF2.train(InstanceList ilist,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval) |
boolean |
CRF.train(InstanceList ilist,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval) |
boolean |
MEMM.train(InstanceList training,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations) |
boolean |
CRF_PL.train(InstanceList training,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations) |
boolean |
CRF4.train(InstanceList ilist,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations) |
boolean |
CRF3.train(InstanceList ilist,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations) |
boolean |
CRF2.train(InstanceList ilist,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations) |
boolean |
CRF.train(InstanceList ilist,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations) |
boolean |
MEMM.train(InstanceList training,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations,
int numIterationsPerProportion,
double[] trainingProportions) |
boolean |
CRF_PL.train(InstanceList training,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations,
int numIterationsPerProportion,
double[] trainingProportions) |
boolean |
CRF4.train(InstanceList training,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations,
int numIterationsPerProportion,
double[] trainingProportions) |
boolean |
CRF3.train(InstanceList training,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations,
int numIterationsPerProportion,
double[] trainingProportions) |
boolean |
CRF2.train(InstanceList training,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations,
int numIterationsPerProportion,
double[] trainingProportions) |
boolean |
CRF.train(InstanceList training,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations,
int numIterationsPerProportion,
double[] trainingProportions) |
boolean |
CRFByGISUpdate.train(InstanceList training,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations,
int numIterationsPerProportion,
double[] trainingProportions,
Minimizer.ByGISUpdate minimizer) |
boolean |
CRFByGISUpdate.train(InstanceList ilist,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations,
Minimizer.ByGISUpdate minimizer) |
static CRF4 |
SimpleTagger.train(InstanceList training,
InstanceList testing,
TransducerEvaluator eval,
int[] orders,
String defaultLabel,
String forbidden,
String allowed,
boolean connected,
int iterations,
double var,
CRF4 crf)
Create and train a CRF model from the given training data,
optionally testing it on the given test data.
|
boolean |
CRF4.trainWithFeatureInduction(InstanceList trainingData,
InstanceList validationData,
InstanceList testingData,
TransducerEvaluator eval,
int numIterations,
int numIterationsBetweenFeatureInductions,
int numFeatureInductions,
int numFeaturesPerFeatureInduction,
double trueLabelProbThreshold,
boolean clusteredFeatureInduction,
double[] trainingProportions) |
boolean |
CRF3.trainWithFeatureInduction(InstanceList trainingData,
InstanceList validationData,
InstanceList testingData,
TransducerEvaluator eval,
int numIterations,
int numIterationsBetweenFeatureInductions,
int numFeatureInductions,
int numFeaturesPerFeatureInduction,
double trueLabelProbThreshold,
boolean clusteredFeatureInduction,
double[] trainingProportions) |
boolean |
CRF2.trainWithFeatureInduction(InstanceList trainingData,
InstanceList validationData,
InstanceList testingData,
TransducerEvaluator eval,
int numIterations,
int numIterationsBetweenFeatureInductions,
int numFeatureInductions,
int numFeaturesPerFeatureInduction,
double trueLabelProbThreshold,
boolean clusteredFeatureInduction,
double[] trainingProportions) |
boolean |
CRF.trainWithFeatureInduction(InstanceList trainingData,
InstanceList validationData,
InstanceList testingData,
TransducerEvaluator eval,
int numIterations,
int numIterationsBetweenFeatureInductions,
int numFeatureInductions,
int numFeaturesPerFeatureInduction,
double trueLabelProbThreshold,
boolean clusteredFeatureInduction,
double[] trainingProportions) |
boolean |
CRFByGISUpdate.trainWithFeatureInduction(InstanceList trainingData,
InstanceList validationData,
InstanceList testingData,
TransducerEvaluator eval,
int numIterations,
int numIterationsBetweenFeatureInductions,
int numFeatureInductions,
int numFeaturesPerFeatureInduction,
double trueLabelProbThreshold,
boolean clusteredFeatureInduction,
double[] trainingProportions,
Minimizer.ByGISUpdate minimizer) |
boolean |
MEMM.trainWithFeatureInduction(InstanceList trainingData,
InstanceList validationData,
InstanceList testingData,
TransducerEvaluator eval,
int numIterations,
int numIterationsBetweenFeatureInductions,
int numFeatureInductions,
int numFeaturesPerFeatureInduction,
double trueLabelProbThreshold,
boolean clusteredFeatureInduction,
double[] trainingProportions,
String gainName) |
boolean |
CRF_PL.trainWithFeatureInduction(InstanceList trainingData,
InstanceList validationData,
InstanceList testingData,
TransducerEvaluator eval,
int numIterations,
int numIterationsBetweenFeatureInductions,
int numFeatureInductions,
int numFeaturesPerFeatureInduction,
double trueLabelProbThreshold,
boolean clusteredFeatureInduction,
double[] trainingProportions,
String gainName) |
boolean |
CRF4.trainWithFeatureInduction(InstanceList trainingData,
InstanceList validationData,
InstanceList testingData,
TransducerEvaluator eval,
int numIterations,
int numIterationsBetweenFeatureInductions,
int numFeatureInductions,
int numFeaturesPerFeatureInduction,
double trueLabelProbThreshold,
boolean clusteredFeatureInduction,
double[] trainingProportions,
String gainName) |
boolean |
CRF3.trainWithFeatureInduction(InstanceList trainingData,
InstanceList validationData,
InstanceList testingData,
TransducerEvaluator eval,
int numIterations,
int numIterationsBetweenFeatureInductions,
int numFeatureInductions,
int numFeaturesPerFeatureInduction,
double trueLabelProbThreshold,
boolean clusteredFeatureInduction,
double[] trainingProportions,
String gainName) |
| Modifier and Type | Class and Description |
|---|---|
class |
FieldF1Evaluator
Created: May 12, 2004
|
class |
IEEvaluator |
Copyright © 2019 JULIE Lab, Germany. All rights reserved.