|
||||||||||
PREV NEXT | FRAMES NO FRAMES |
Packages that use TransducerEvaluator | |
---|---|
cc.mallet.fst | Transducers, including Conditional Random Fields (CRFs). |
cc.mallet.fst.semi_supervised.tui |
Uses of TransducerEvaluator in cc.mallet.fst |
---|
Subclasses of TransducerEvaluator in cc.mallet.fst | |
---|---|
class |
CRFWriter
Saves a trained model to specified filename. |
class |
InstanceAccuracyEvaluator
Reports the percentage of instances for which the entire predicted sequence was correct. |
class |
LabelDistributionEvaluator
Prints predicted and true label distribution. |
class |
MultiSegmentationEvaluator
Evaluates a transducer model, computes the precision, recall and F1 scores; considers segments that span across multiple tokens. |
class |
PerClassAccuracyEvaluator
Determines the precision, recall and F1 on a per-class basis. |
class |
SegmentationEvaluator
|
class |
TokenAccuracyEvaluator
Evaluates a transducer model based on predictions of individual tokens. |
class |
ViterbiWriter
Prints the input instances along with the features and the true and predicted labels to a file. |
Methods in cc.mallet.fst with parameters of type TransducerEvaluator | |
---|---|
TransducerTrainer |
TransducerTrainer.addEvaluator(TransducerEvaluator te)
|
void |
CRF.evaluate(TransducerEvaluator eval,
InstanceList testing)
Deprecated. |
TransducerTrainer |
TransducerTrainer.removeEvaluator(TransducerEvaluator te)
|
static void |
SimpleTagger.test(TransducerTrainer tt,
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 |
MEMMTrainer.train(InstanceList training,
InstanceList validation,
InstanceList testing,
TransducerEvaluator eval,
int numIterations,
int numIterationsPerProportion,
double[] trainingProportions)
Not implemented yet. |
static CRF |
SimpleTagger.train(InstanceList training,
InstanceList testing,
TransducerEvaluator eval,
int[] orders,
java.lang.String defaultLabel,
java.lang.String forbidden,
java.lang.String allowed,
boolean connected,
int iterations,
double var,
CRF crf)
Create and train a CRF model from the given training data, optionally testing it on the given test data. |
boolean |
CRFTrainerByLabelLikelihood.trainWithFeatureInduction(InstanceList trainingData,
InstanceList validationData,
InstanceList testingData,
TransducerEvaluator eval,
int numIterations,
int numIterationsBetweenFeatureInductions,
int numFeatureInductions,
int numFeaturesPerFeatureInduction,
double trueLabelProbThreshold,
boolean clusteredFeatureInduction,
double[] trainingProportions)
|
boolean |
MEMMTrainer.trainWithFeatureInduction(InstanceList trainingData,
InstanceList validationData,
InstanceList testingData,
TransducerEvaluator eval,
int numIterations,
int numIterationsBetweenFeatureInductions,
int numFeatureInductions,
int numFeaturesPerFeatureInduction,
double trueLabelProbThreshold,
boolean clusteredFeatureInduction,
double[] trainingProportions,
java.lang.String gainName)
Not implemented yet. |
boolean |
CRFTrainerByLabelLikelihood.trainWithFeatureInduction(InstanceList trainingData,
InstanceList validationData,
InstanceList testingData,
TransducerEvaluator eval,
int numIterations,
int numIterationsBetweenFeatureInductions,
int numFeatureInductions,
int numFeaturesPerFeatureInduction,
double trueLabelProbThreshold,
boolean clusteredFeatureInduction,
double[] trainingProportions,
java.lang.String gainName)
Train a CRF using feature induction to generate conjunctions of features. |
Method parameters in cc.mallet.fst with type arguments of type TransducerEvaluator | |
---|---|
TransducerTrainer |
TransducerTrainer.addEvaluators(java.util.Collection<TransducerEvaluator> tes)
|
Uses of TransducerEvaluator in cc.mallet.fst.semi_supervised.tui |
---|
Methods in cc.mallet.fst.semi_supervised.tui with parameters of type TransducerEvaluator | |
---|---|
static void |
SimpleTaggerWithConstraints.test(TransducerTrainer tt,
TransducerEvaluator eval,
InstanceList testing)
Test a transducer on the given test data, evaluating accuracy with the given evaluator |
static CRF |
SimpleTaggerWithConstraints.trainGE(InstanceList training,
InstanceList testing,
java.util.ArrayList<GEConstraint> constraints,
CRF crf,
TransducerEvaluator eval,
int iterations,
double var,
int resets)
Create and train a CRF model from the given training data, optionally testing it on the given test data. |
static CRF |
SimpleTaggerWithConstraints.trainPR(InstanceList training,
InstanceList testing,
java.util.ArrayList<PRConstraint> constraints,
CRF crf,
TransducerEvaluator eval,
int iterations,
double var)
Create and train a CRF model from the given training data, optionally testing it on the given test data. |
|
||||||||||
PREV NEXT | FRAMES NO FRAMES |