eus.ixa.ixa.pipe.ml.sequence

Class SequenceLabelerModel

java.lang.Object

opennlp.tools.util.model.BaseModel

eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel

All Implemented Interfaces:

opennlp.tools.util.model.ArtifactProvider

public class SequenceLabelerModel
extends opennlp.tools.util.model.BaseModel

The SequenceLabelerModel is the model used by a learnable SequenceLabeler.

See Also:

SequenceLabelerME

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SequenceLabelerModel.FeatureGeneratorCreationError

Field Summary

Fields inherited from class opennlp.tools.util.model.BaseModel

artifactMap, FACTORY_NAME, MANIFEST_ENTRY, toolFactory, TRAINING_CUTOFF_PROPERTY, TRAINING_EVENTHASH_PROPERTY, TRAINING_ITERATIONS_PROPERTY

Constructor Summary

Constructors

Constructor and Description
SequenceLabelerModel(File modelFile)
SequenceLabelerModel(InputStream in)
SequenceLabelerModel(String languageCode, opennlp.tools.ml.model.MaxentModel nameFinderModel, byte[] generatorDescriptor, Map<String,Object> resources, Map<String,String> manifestInfoEntries)
SequenceLabelerModel(String languageCode, opennlp.tools.ml.model.MaxentModel nameFinderModel, int beamSize, byte[] generatorDescriptor, Map<String,Object> resources, Map<String,String> manifestInfoEntries, SequenceLabelerCodec<String> seqCodec, SequenceLabelerFactory factory)
SequenceLabelerModel(String languageCode, opennlp.tools.ml.model.MaxentModel nameFinderModel, Map<String,Object> resources, Map<String,String> manifestInfoEntries)
SequenceLabelerModel(String languageCode, opennlp.tools.ml.model.SequenceClassificationModel<String> nameFinderModel, byte[] generatorDescriptor, Map<String,Object> resources, Map<String,String> manifestInfoEntries, SequenceLabelerCodec<String> seqCodec, SequenceLabelerFactory factory)
SequenceLabelerModel(URL modelURL)

Method Summary

Modifier and Type	Method and Description
static Map<String,opennlp.tools.util.model.ArtifactSerializer>	createArtifactSerializers() Create the artifact serializers.
protected void	createArtifactSerializers(Map<String,opennlp.tools.util.model.ArtifactSerializer> serializers)
protected Class<? extends opennlp.tools.util.BaseToolFactory>	getDefaultFactory()
SequenceLabelerFactory	getFactory()
opennlp.tools.ml.model.SequenceClassificationModel<String>	getSequenceLabelerModel()
protected void	validateArtifactMap()

Methods inherited from class opennlp.tools.util.model.BaseModel

checkArtifactMap, getArtifact, getArtifactSerializer, getLanguage, getManifestProperty, getVersion, isLoadedFromSerialized, serialize, setManifestProperty

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SequenceLabelerModel

public SequenceLabelerModel(String languageCode,
                            opennlp.tools.ml.model.SequenceClassificationModel<String> nameFinderModel,
                            byte[] generatorDescriptor,
                            Map<String,Object> resources,
                            Map<String,String> manifestInfoEntries,
                            SequenceLabelerCodec<String> seqCodec,
                            SequenceLabelerFactory factory)

SequenceLabelerModel

public SequenceLabelerModel(String languageCode,
                            opennlp.tools.ml.model.MaxentModel nameFinderModel,
                            int beamSize,
                            byte[] generatorDescriptor,
                            Map<String,Object> resources,
                            Map<String,String> manifestInfoEntries,
                            SequenceLabelerCodec<String> seqCodec,
                            SequenceLabelerFactory factory)

SequenceLabelerModel

public SequenceLabelerModel(String languageCode,
                            opennlp.tools.ml.model.MaxentModel nameFinderModel,
                            byte[] generatorDescriptor,
                            Map<String,Object> resources,
                            Map<String,String> manifestInfoEntries)

SequenceLabelerModel

public SequenceLabelerModel(String languageCode,
                            opennlp.tools.ml.model.MaxentModel nameFinderModel,
                            Map<String,Object> resources,
                            Map<String,String> manifestInfoEntries)

SequenceLabelerModel

public SequenceLabelerModel(InputStream in)
                     throws IOException,
                            opennlp.tools.util.InvalidFormatException

Throws:

IOException

opennlp.tools.util.InvalidFormatException

SequenceLabelerModel

public SequenceLabelerModel(File modelFile)
                     throws IOException,
                            opennlp.tools.util.InvalidFormatException

Throws:

IOException

opennlp.tools.util.InvalidFormatException

SequenceLabelerModel

public SequenceLabelerModel(URL modelURL)
                     throws IOException,
                            opennlp.tools.util.InvalidFormatException

Throws:

IOException

opennlp.tools.util.InvalidFormatException

Method Detail

getSequenceLabelerModel

public opennlp.tools.ml.model.SequenceClassificationModel<String> getSequenceLabelerModel()

getDefaultFactory

protected Class<? extends opennlp.tools.util.BaseToolFactory> getDefaultFactory()

Overrides:

getDefaultFactory in class opennlp.tools.util.model.BaseModel

getFactory

public SequenceLabelerFactory getFactory()

createArtifactSerializers

protected void createArtifactSerializers(Map<String,opennlp.tools.util.model.ArtifactSerializer> serializers)

Overrides:

createArtifactSerializers in class opennlp.tools.util.model.BaseModel

createArtifactSerializers

public static Map<String,opennlp.tools.util.model.ArtifactSerializer> createArtifactSerializers()

Create the artifact serializers. The DefaultTrainer deals with any other Custom serializers.

Returns:

the map containing the added serializers

validateArtifactMap

protected void validateArtifactMap()
                            throws opennlp.tools.util.InvalidFormatException

Overrides:

validateArtifactMap in class opennlp.tools.util.model.BaseModel

Throws:

opennlp.tools.util.InvalidFormatException