Package | Description |
---|---|
opennlp.tools.chunker |
Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
|
opennlp.tools.lemmatizer |
Package related with the lemmatizer tool
|
opennlp.tools.ml.maxent |
Provides main functionality of the maxent package including data structures and
algorithms for parameter estimation.
|
opennlp.tools.ml.maxent.io |
Provides the I/O functionality of the maxent package including reading
and writing models in several formats.
|
opennlp.tools.ml.maxent.quasinewton | |
opennlp.tools.ml.model | |
opennlp.tools.ml.naivebayes | |
opennlp.tools.ml.perceptron | |
opennlp.tools.namefind |
Package related to finding proper names and numeric amounts.
|
opennlp.tools.postag |
Package related to part-of-speech tagging.
|
opennlp.tools.util.model |
Modifier and Type | Method and Description |
---|---|
Event[] |
ChunkSampleSequenceStream.updateContext(Sequence sequence,
AbstractModel model) |
Modifier and Type | Method and Description |
---|---|
Event[] |
LemmaSampleSequenceStream.updateContext(Sequence sequence,
AbstractModel model) |
Modifier and Type | Class and Description |
---|---|
class |
GISModel
A maximum entropy model which has been trained using the Generalized
Iterative Scaling procedure (implemented in GIS.java).
|
Modifier and Type | Method and Description |
---|---|
AbstractModel |
GISModelReader.constructModel()
Retrieve a model from disk.
|
Constructor and Description |
---|
BinaryGISModelWriter(AbstractModel model,
DataOutputStream dos)
Constructor which takes a GISModel and a DataOutputStream and prepares
itself to write the model to that stream.
|
BinaryGISModelWriter(AbstractModel model,
File f)
Constructor which takes a GISModel and a File and prepares itself to write
the model to that file.
|
BinaryQNModelWriter(AbstractModel model,
DataOutputStream dos)
Constructor which takes a GISModel and a DataOutputStream and prepares
itself to write the model to that stream.
|
BinaryQNModelWriter(AbstractModel model,
File f)
Constructor which takes a GISModel and a File and prepares itself to write
the model to that file.
|
GISModelWriter(AbstractModel model) |
QNModelWriter(AbstractModel model) |
Modifier and Type | Class and Description |
---|---|
class |
QNModel |
Modifier and Type | Method and Description |
---|---|
AbstractModel |
QNTrainer.doTrain(DataIndexer indexer) |
Modifier and Type | Method and Description |
---|---|
abstract AbstractModel |
AbstractModelReader.constructModel() |
AbstractModel |
GenericModelReader.constructModel() |
AbstractModel |
AbstractModelReader.getModel() |
Modifier and Type | Method and Description |
---|---|
Event[] |
SequenceStream.updateContext(Sequence sequence,
AbstractModel model)
Creates a new event array based on the outcomes predicted by the specified parameters
for the specified sequence.
|
Constructor and Description |
---|
GenericModelWriter(AbstractModel model,
DataOutputStream dos) |
GenericModelWriter(AbstractModel model,
File file) |
Modifier and Type | Class and Description |
---|---|
class |
NaiveBayesModel
Class implementing the multinomial Naive Bayes classifier model.
|
Modifier and Type | Method and Description |
---|---|
AbstractModel |
NaiveBayesModelReader.constructModel()
Retrieve a model from disk.
|
AbstractModel |
NaiveBayesTrainer.doTrain(DataIndexer indexer) |
AbstractModel |
NaiveBayesTrainer.trainModel(DataIndexer di) |
Constructor and Description |
---|
BinaryNaiveBayesModelWriter(AbstractModel model,
DataOutputStream dos)
Constructor which takes a NaiveBayesModel and a DataOutputStream and prepares
itself to write the model to that stream.
|
BinaryNaiveBayesModelWriter(AbstractModel model,
File f)
Constructor which takes a NaiveBayesModel and a File and prepares itself to
write the model to that file.
|
NaiveBayesModelWriter(AbstractModel model) |
PlainTextNaiveBayesModelWriter(AbstractModel model,
BufferedWriter bw)
Constructor which takes a NaiveBayesModel and a BufferedWriter and prepares
itself to write the model to that writer.
|
PlainTextNaiveBayesModelWriter(AbstractModel model,
File f)
Constructor which takes a NaiveBayesModel and a File and prepares itself to
write the model to that file.
|
Modifier and Type | Class and Description |
---|---|
class |
PerceptronModel |
Modifier and Type | Method and Description |
---|---|
AbstractModel |
PerceptronModelReader.constructModel()
Retrieve a model from disk.
|
AbstractModel |
PerceptronTrainer.doTrain(DataIndexer indexer) |
AbstractModel |
SimplePerceptronSequenceTrainer.doTrain(SequenceStream events) |
AbstractModel |
PerceptronTrainer.trainModel(int iterations,
DataIndexer di,
int cutoff) |
AbstractModel |
PerceptronTrainer.trainModel(int iterations,
DataIndexer di,
int cutoff,
boolean useAverage) |
AbstractModel |
SimplePerceptronSequenceTrainer.trainModel(int iterations,
SequenceStream sequenceStream,
int cutoff,
boolean useAverage) |
Constructor and Description |
---|
BinaryPerceptronModelWriter(AbstractModel model,
DataOutputStream dos)
Constructor which takes a GISModel and a DataOutputStream and prepares
itself to write the model to that stream.
|
BinaryPerceptronModelWriter(AbstractModel model,
File f)
Constructor which takes a GISModel and a File and prepares itself to
write the model to that file.
|
PerceptronModelWriter(AbstractModel model) |
Modifier and Type | Method and Description |
---|---|
Event[] |
NameSampleSequenceStream.updateContext(Sequence sequence,
AbstractModel model) |
Modifier and Type | Method and Description |
---|---|
Event[] |
POSSampleSequenceStream.updateContext(Sequence sequence,
AbstractModel model) |
protected void |
POSTaggerFactory.validatePOSDictionary(POSDictionary posDict,
AbstractModel posModel) |
Modifier and Type | Method and Description |
---|---|
AbstractModel |
GenericModelSerializer.create(InputStream in) |
Modifier and Type | Method and Description |
---|---|
void |
GenericModelSerializer.serialize(AbstractModel artifact,
OutputStream out) |
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