Index

A B C D E F G H I L M N O P R S T U V W
All Classes and Interfaces|All Packages|Constant Field Values

A

AbstractDataIndexer<P> - Class in opennlp.tools.ml.model

Abstract DataIndexer implementation for collecting event and context counts used in training.

AbstractDataIndexer() - Constructor for class opennlp.tools.ml.model.AbstractDataIndexer

AbstractEventModelSequenceTrainer<P> - Class in opennlp.tools.ml

A basic EventModelSequenceTrainer implementation that processes events.

AbstractEventModelSequenceTrainer() - Constructor for class opennlp.tools.ml.AbstractEventModelSequenceTrainer

AbstractEventTrainer<P> - Class in opennlp.tools.ml

A basic EventTrainer implementation.

AbstractEventTrainer() - Constructor for class opennlp.tools.ml.AbstractEventTrainer

AbstractEventTrainer(P) - Constructor for class opennlp.tools.ml.AbstractEventTrainer

AbstractMLModelWriter - Class in opennlp.tools.ml

AbstractMLModelWriter() - Constructor for class opennlp.tools.ml.AbstractMLModelWriter

AbstractModel - Class in opennlp.tools.ml.model

A basic MaxentModel implementation.

AbstractModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.model.AbstractModel

Initializes an AbstractModel.

AbstractModelReader - Class in opennlp.tools.ml.model

An abstract, basic implementation of a model reader.

AbstractModelReader(File) - Constructor for class opennlp.tools.ml.model.AbstractModelReader

Initializes a AbstractModelReader via a File.

AbstractModelReader(DataReader) - Constructor for class opennlp.tools.ml.model.AbstractModelReader

Initializes a AbstractModelReader via a DataReader.

AbstractModelWriter - Class in opennlp.tools.ml.model

An abstract, basic implementation of a model writer.

AbstractModelWriter() - Constructor for class opennlp.tools.ml.model.AbstractModelWriter

AbstractTrainer<P> - Class in opennlp.tools.ml

AbstractTrainer() - Constructor for class opennlp.tools.ml.AbstractTrainer

AbstractTrainer(P) - Constructor for class opennlp.tools.ml.AbstractTrainer

Initializes a AbstractTrainer via Parameters.

add(String) - Method in class opennlp.tools.ml.model.SimpleEventStreamBuilder

algorithm() - Method in class opennlp.tools.util.TrainingParameters

algorithm(String) - Method in class opennlp.tools.util.TrainingParameters

B

BEAM_SIZE_PARAMETER - Static variable in class opennlp.tools.ml.BeamSearch

BeamSearch - Class in opennlp.tools.ml

Performs k-best search over a sequence.

BeamSearch(int, MaxentModel) - Constructor for class opennlp.tools.ml.BeamSearch

Initializes a BeamSearch instance.

BeamSearch(int, MaxentModel, int) - Constructor for class opennlp.tools.ml.BeamSearch

Initializes a BeamSearch instance.

bestSequence(T[], Object[], BeamSearchContextGenerator, SequenceValidator) - Method in class opennlp.tools.ml.BeamSearch

Computes the best sequence of outcomes based on the MaxentModel.

bestSequences(int, T[], Object[], double, BeamSearchContextGenerator, SequenceValidator) - Method in class opennlp.tools.ml.BeamSearch

Computes the best sequence of outcomes based on the MaxentModel.

bestSequences(int, T[], Object[], BeamSearchContextGenerator, SequenceValidator) - Method in class opennlp.tools.ml.BeamSearch

Computes the best sequence of outcomes based on the MaxentModel.

BinaryFileDataReader - Class in opennlp.tools.ml.model

A DataReader that reads files from a binary format.

BinaryFileDataReader(DataInputStream) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader

Instantiates BinaryFileDataReader via an DataInputStream.

BinaryFileDataReader(File) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader

Instantiates BinaryFileDataReader via a File and creates a DataInputStream for it.

BinaryFileDataReader(InputStream) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader

Instantiates BinaryFileDataReader via an InputStream and creates a DataInputStream for it.

build() - Method in class opennlp.tools.ml.model.SimpleEventStreamBuilder

C

calculateChecksum() - Method in class opennlp.tools.ml.model.ChecksumEventStream

Calculates and returns the (current) checksum.

checkModelType() - Method in class opennlp.tools.ml.model.AbstractModelReader

Checks the model type via the the underlying DataReader.

checkModelType() - Method in class opennlp.tools.ml.model.GenericModelReader

ChecksumEventStream - Class in opennlp.tools.ml.model

A Checksum-based event stream implementation.

ChecksumEventStream(ObjectStream) - Constructor for class opennlp.tools.ml.model.ChecksumEventStream

Initializes an ChecksumEventStream.

close() - Method in class opennlp.tools.ml.model.AbstractModelWriter

Closes the underlying DataOutputStream.

close() - Method in class opennlp.tools.ml.model.FileEventStream

close() - Method in class opennlp.tools.ml.model.GenericModelWriter

close() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream

ComparableEvent - Class in opennlp.tools.ml.model

A maxent event representation which we can use to sort based on the predicates indexes contained in the events.

ComparableEvent(int, int[]) - Constructor for class opennlp.tools.ml.model.ComparableEvent

ComparableEvent(int, int[], float[]) - Constructor for class opennlp.tools.ml.model.ComparableEvent

ComparablePredicate - Class in opennlp.tools.ml.model

A maxent predicate representation which we can use to sort based on the outcomes.

ComparablePredicate(String, int[], double[]) - Constructor for class opennlp.tools.ml.model.ComparablePredicate

compareTo(ComparableEvent) - Method in class opennlp.tools.ml.model.ComparableEvent

compareTo(ComparablePredicate) - Method in class opennlp.tools.ml.model.ComparablePredicate

constructModel() - Method in class opennlp.tools.ml.model.AbstractModelReader

Constructs a model.

constructModel() - Method in class opennlp.tools.ml.model.GenericModelReader

contains(int) - Method in class opennlp.tools.ml.model.MutableContext

D

DATA_INDEXER_ONE_PASS_REAL_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer

DATA_INDEXER_ONE_PASS_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer

DATA_INDEXER_PARAM - Static variable in class opennlp.tools.ml.AbstractEventTrainer

DATA_INDEXER_TWO_PASS_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer

DataIndexerFactory - Class in opennlp.tools.ml.model

A factory that produces DataIndexer instances.

DataIndexerFactory() - Constructor for class opennlp.tools.ml.model.DataIndexerFactory

defaultParams() - Static method in class opennlp.tools.util.TrainingParameters

DefaultTrainingProgressMonitor - Class in opennlp.tools.monitoring

The default implementation of TrainingProgressMonitor.

DefaultTrainingProgressMonitor() - Constructor for class opennlp.tools.monitoring.DefaultTrainingProgressMonitor

display(boolean) - Method in class opennlp.tools.monitoring.DefaultTrainingProgressMonitor

doTrain(DataIndexer) - Method in class opennlp.tools.ml.AbstractEventTrainer

doTrain(SequenceStream) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer

DynamicEvalParameters - Class in opennlp.tools.ml.model

DynamicEvalParameters(List, int) - Constructor for class opennlp.tools.ml.model.DynamicEvalParameters

Creates a set of parameters which can be evaluated with the eval method.

E

equals(Object) - Method in class opennlp.tools.ml.model.AbstractModel

equals(Object) - Method in class opennlp.tools.ml.model.ComparableEvent

equals(Object) - Method in class opennlp.tools.ml.model.ComparablePredicate

equals(Object) - Method in class opennlp.tools.ml.model.EvalParameters

equals(Object) - Method in class opennlp.tools.ml.model.UniformPrior

EvalParameters - Class in opennlp.tools.ml.model

This class encapsulates the variables used in producing probabilities from a model and facilitates passing these variables to the eval method.

EvalParameters(Context[], int) - Constructor for class opennlp.tools.ml.model.EvalParameters

F

FileEventStream - Class in opennlp.tools.ml.model

Class for using a file of events as an event stream.

FileEventStream(File) - Constructor for class opennlp.tools.ml.model.FileEventStream

Instantiates a FileEventStream via a File.

FileEventStream(Reader) - Constructor for class opennlp.tools.ml.model.FileEventStream

Instantiates a FileEventStream via a Reader.

FileEventStream(String) - Constructor for class opennlp.tools.ml.model.FileEventStream

Instantiates a FileEventStream from the specified file name.

FileEventStream(String, String) - Constructor for class opennlp.tools.ml.model.FileEventStream

Instantiates a FileEventStream from the specified file name.

finishedIteration(int, int, int, TrainingMeasure, double) - Method in class opennlp.tools.monitoring.DefaultTrainingProgressMonitor

finishedTraining(int, StopCriteria) - Method in class opennlp.tools.monitoring.DefaultTrainingProgressMonitor

G

GenericModelReader - Class in opennlp.tools.ml.model

An generic AbstractModelReader implementation.

GenericModelReader(File) - Constructor for class opennlp.tools.ml.model.GenericModelReader

Initializes a GenericModelReader via a File.

GenericModelReader(DataReader) - Constructor for class opennlp.tools.ml.model.GenericModelReader

Initializes a GenericModelReader via a DataReader.

GenericModelWriter - Class in opennlp.tools.ml.model

An generic AbstractModelWriter implementation.

GenericModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.model.GenericModelWriter

Initializes a GenericModelWriter for an AbstractModel with an associated DataOutputStream the model shall be written to.

GenericModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.model.GenericModelWriter

Initializes a GenericModelWriter for an AbstractModel with an associated File the model shall be written to.

getAlgorithm() - Method in class opennlp.tools.ml.AbstractTrainer

getAllOutcomes(double[]) - Method in class opennlp.tools.ml.model.AbstractModel

Retrieves a string matching all the outcome names with all the probabilities produced by the MaxentModel.eval(String[]) method.

getBestOutcome(double[]) - Method in class opennlp.tools.ml.model.AbstractModel

Return the name of the outcome corresponding to the highest likelihood in the parameter ocs.

getBooleanParameter(String, boolean) - Method in class opennlp.tools.util.TrainingParameters

getBooleanParameter(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters

getContexts() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getCutoff() - Method in class opennlp.tools.ml.AbstractTrainer

getDataIndexer(ObjectStream) - Method in class opennlp.tools.ml.AbstractEventTrainer

getDataIndexer(P, Map) - Static method in class opennlp.tools.ml.model.DataIndexerFactory

Instantiates a DataIndexer configured via Parameters.

getDataStructures() - Method in class opennlp.tools.ml.model.AbstractModel

Provides the fundamental data structures which encode the MaxentModel information.

getDoubleParameter(String, double) - Method in class opennlp.tools.util.TrainingParameters

getDoubleParameter(String, String, double) - Method in class opennlp.tools.util.TrainingParameters

getIndex(String) - Method in class opennlp.tools.ml.model.AbstractModel

getIntParameter(String, int) - Method in class opennlp.tools.util.TrainingParameters

getIntParameter(String, String, int) - Method in class opennlp.tools.util.TrainingParameters

getIterations() - Method in class opennlp.tools.ml.AbstractTrainer

getModel() - Method in class opennlp.tools.ml.model.AbstractModelReader

getModelType() - Method in class opennlp.tools.ml.model.AbstractModel

getNumEvents() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getNumOutcomes() - Method in class opennlp.tools.ml.model.AbstractModel

getNumOutcomes() - Method in class opennlp.tools.ml.model.DynamicEvalParameters

getNumOutcomes() - Method in class opennlp.tools.ml.model.EvalParameters

getNumTimesEventsSeen() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getObjectSettings() - Method in class opennlp.tools.util.TrainingParameters

getObjectSettings(String) - Method in class opennlp.tools.util.TrainingParameters

getOutcome(int) - Method in class opennlp.tools.ml.model.AbstractModel

getOutcomeLabels() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getOutcomeList() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getOutcomes() - Method in class opennlp.tools.ml.BeamSearch

getParameters(String) - Method in class opennlp.tools.util.TrainingParameters

getParams() - Method in class opennlp.tools.ml.model.DynamicEvalParameters

getParams() - Method in class opennlp.tools.ml.model.EvalParameters

getPredCounts() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getPredLabels() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getStringParameter(String, String) - Method in class opennlp.tools.util.TrainingParameters

getStringParameter(String, String, String) - Method in class opennlp.tools.util.TrainingParameters

getTrainingConfiguration() - Method in class opennlp.tools.ml.AbstractTrainer

Retrieves the TrainingConfiguration associated with an AbstractTrainer.

getValues() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getValues() - Method in class opennlp.tools.ml.model.OnePassRealValueDataIndexer

H

hashCode() - Method in class opennlp.tools.ml.model.AbstractModel

hashCode() - Method in class opennlp.tools.ml.model.ComparableEvent

hashCode() - Method in class opennlp.tools.ml.model.ComparablePredicate

hashCode() - Method in class opennlp.tools.ml.model.EvalParameters

hashCode() - Method in class opennlp.tools.ml.model.UniformPrior

I

index(ObjectStream) - Method in class opennlp.tools.ml.model.OnePassDataIndexer

index(ObjectStream) - Method in class opennlp.tools.ml.model.TwoPassDataIndexer

init(P, Map) - Method in class opennlp.tools.ml.AbstractTrainer

Initializes a AbstractTrainer via Parameters and a report map.

init(P, Map) - Method in class opennlp.tools.ml.model.AbstractDataIndexer

init(P, Map, TrainingConfiguration) - Method in class opennlp.tools.ml.AbstractTrainer

isSortAndMerge() - Method in class opennlp.tools.ml.AbstractEventTrainer

isTrainingFinished() - Method in class opennlp.tools.monitoring.DefaultTrainingProgressMonitor

L

logPrior(double[], int[]) - Method in class opennlp.tools.ml.model.UniformPrior

logPrior(double[], int[], float[]) - Method in class opennlp.tools.ml.model.UniformPrior

logPrior(double[], Context[], float[]) - Method in class opennlp.tools.ml.model.UniformPrior

M

ModelParameterChunker - Class in opennlp.tools.ml.model

A helper class that handles Strings with more than 64k (65535 bytes) in length.

MutableContext - Class in opennlp.tools.ml.model

An extension of Context used to store parameters or expected values associated with this context which can be updated or assigned.

MutableContext(int[], double[]) - Constructor for class opennlp.tools.ml.model.MutableContext

Creates a new parameters object with the specified parameters associated with the specified outcome pattern.

N

name - Variable in class opennlp.tools.ml.model.ComparablePredicate

O

ObjectDataReader - Class in opennlp.tools.ml.model

A DataReader implementation based on ObjectInputStream.

ObjectDataReader(ObjectInputStream) - Constructor for class opennlp.tools.ml.model.ObjectDataReader

Instantiates an ObjectDataReader.

OnePassDataIndexer - Class in opennlp.tools.ml.model

A DataIndexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.

OnePassDataIndexer() - Constructor for class opennlp.tools.ml.model.OnePassDataIndexer

OnePassRealValueDataIndexer - Class in opennlp.tools.ml.model

A DataIndexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates and maintains event values.

OnePassRealValueDataIndexer() - Constructor for class opennlp.tools.ml.model.OnePassRealValueDataIndexer

opennlp.tools.ml - package opennlp.tools.ml

opennlp.tools.ml.model - package opennlp.tools.ml.model

opennlp.tools.monitoring - package opennlp.tools.monitoring

opennlp.tools.util - package opennlp.tools.util

outcome - Variable in class opennlp.tools.ml.model.ComparableEvent

outcomes - Variable in class opennlp.tools.ml.model.ComparablePredicate

P

params - Variable in class opennlp.tools.ml.model.ComparablePredicate

parseContexts(String[]) - Static method in class opennlp.tools.ml.model.RealValueFileEventStream

Parses the specified contexts and re-populates context array with features and returns the values for these features.

persist() - Method in class opennlp.tools.ml.AbstractMLModelWriter

persist() - Method in class opennlp.tools.ml.model.AbstractModelWriter

Serializes the model using the AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)} methods implemented by extending classes.

persist() - Method in class opennlp.tools.ml.model.GenericModelWriter

PlainTextFileDataReader - Class in opennlp.tools.ml.model

A generic DataReader implementation for plain text files.

PlainTextFileDataReader(BufferedReader) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader

Initializes a PlainTextFileDataReader via a BufferedReader.

PlainTextFileDataReader(File) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader

Initializes a PlainTextFileDataReader via a File.

PlainTextFileDataReader(InputStream) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader

Initializes a PlainTextFileDataReader via a InputStream.

predIndexes - Variable in class opennlp.tools.ml.model.ComparableEvent

put(String, boolean) - Method in class opennlp.tools.util.TrainingParameters

put(String, double) - Method in class opennlp.tools.util.TrainingParameters

put(String, int) - Method in class opennlp.tools.util.TrainingParameters

put(String, String) - Method in class opennlp.tools.util.TrainingParameters

put(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters

put(String, String, double) - Method in class opennlp.tools.util.TrainingParameters

put(String, String, int) - Method in class opennlp.tools.util.TrainingParameters

put(String, String, String) - Method in class opennlp.tools.util.TrainingParameters

putIfAbsent(String, boolean) - Method in class opennlp.tools.util.TrainingParameters

putIfAbsent(String, double) - Method in class opennlp.tools.util.TrainingParameters

putIfAbsent(String, int) - Method in class opennlp.tools.util.TrainingParameters

putIfAbsent(String, String) - Method in class opennlp.tools.util.TrainingParameters

putIfAbsent(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters

putIfAbsent(String, String, double) - Method in class opennlp.tools.util.TrainingParameters

putIfAbsent(String, String, int) - Method in class opennlp.tools.util.TrainingParameters

putIfAbsent(String, String, String) - Method in class opennlp.tools.util.TrainingParameters

R

read() - Method in class opennlp.tools.ml.model.ChecksumEventStream

read() - Method in class opennlp.tools.ml.model.FileEventStream

Returns the next Event object.

read() - Method in class opennlp.tools.ml.model.RealValueFileEventStream

Returns the next Event object.

read() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream

readDouble() - Method in class opennlp.tools.ml.model.AbstractModelReader

Implement as needed for the format the model is stored in.

readDouble() - Method in class opennlp.tools.ml.model.BinaryFileDataReader

readDouble() - Method in class opennlp.tools.ml.model.ObjectDataReader

readDouble() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader

readInt() - Method in class opennlp.tools.ml.model.AbstractModelReader

Implement as needed for the format the model is stored in.

readInt() - Method in class opennlp.tools.ml.model.BinaryFileDataReader

readInt() - Method in class opennlp.tools.ml.model.ObjectDataReader

readInt() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader

readUTF() - Method in class opennlp.tools.ml.model.AbstractModelReader

Implement as needed for the format the model is stored in.

readUTF() - Method in class opennlp.tools.ml.model.BinaryFileDataReader

readUTF() - Method in class opennlp.tools.ml.model.ObjectDataReader

readUTF() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader

readUTF(DataInputStream) - Static method in class opennlp.tools.ml.model.ModelParameterChunker

Reads model parameters from dis.

RealValueFileEventStream - Class in opennlp.tools.ml.model

Class for using a file of real-valued events as an event stream.

RealValueFileEventStream(File) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream

Instantiates a RealValueFileEventStream via a File.

RealValueFileEventStream(Reader) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream

Instantiates a RealValueFileEventStream via a Reader.

RealValueFileEventStream(String) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream

Instantiates a RealValueFileEventStream from the specified file name.

RealValueFileEventStream(String, String) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream

Instantiates a RealValueFileEventStream from the specified file name.

reset() - Method in class opennlp.tools.ml.model.FileEventStream

reset() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream

S

seen - Variable in class opennlp.tools.ml.model.ComparableEvent

SequenceStreamEventStream - Class in opennlp.tools.ml.model

Class which turns a SequenceStream into an event stream.

SequenceStreamEventStream(SequenceStream) - Constructor for class opennlp.tools.ml.model.SequenceStreamEventStream

serialize(OutputStream) - Method in class opennlp.tools.util.TrainingParameters

setLabels(String[], String[]) - Method in class opennlp.tools.ml.model.UniformPrior

setParameter(int, double) - Method in class opennlp.tools.ml.model.MutableContext

Assigns the parameter or expected value at the specified outcomeIndex the specified value.

setParams(String[]) - Static method in class opennlp.tools.util.TrainingParameters

SIGNATURE_CHUNKED_PARAMS - Static variable in class opennlp.tools.ml.model.ModelParameterChunker

SimpleEventStreamBuilder - Class in opennlp.tools.ml.model

SimpleEventStreamBuilder() - Constructor for class opennlp.tools.ml.model.SimpleEventStreamBuilder

SORT_DEFAULT - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer

SORT_PARAM - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer

T

toLine(Event) - Static method in class opennlp.tools.ml.model.FileEventStream

Generates a string representing the specified event.

toString() - Method in class opennlp.tools.ml.model.ComparableEvent

toString() - Method in class opennlp.tools.ml.model.ComparablePredicate

train(DataIndexer) - Method in class opennlp.tools.ml.AbstractEventTrainer

train(SequenceStream) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer

train(ObjectStream) - Method in class opennlp.tools.ml.AbstractEventTrainer

TrainingParameters - Class in opennlp.tools.util

Declares and handles default parameters used for or during training models.

TrainingParameters() - Constructor for class opennlp.tools.util.TrainingParameters

No-arg constructor to create a default TrainingParameters instance.

TrainingParameters(InputStream) - Constructor for class opennlp.tools.util.TrainingParameters

InputStream based constructor that reads in TrainingParameters.

TrainingParameters(Map) - Constructor for class opennlp.tools.util.TrainingParameters

Key-value based constructor to apply a Map based configuration initialization.

TrainingParameters(TrainingParameters) - Constructor for class opennlp.tools.util.TrainingParameters

Copy constructor to hand over the config of existing TrainingParameters.

TwoPassDataIndexer - Class in opennlp.tools.ml.model

Collecting event and context counts by making two passes over the events.

TwoPassDataIndexer() - Constructor for class opennlp.tools.ml.model.TwoPassDataIndexer

U

UniformPrior - Class in opennlp.tools.ml.model

Provide a maximum entropy model with a uniform Prior.

UniformPrior() - Constructor for class opennlp.tools.ml.model.UniformPrior

updateParameter(int, double) - Method in class opennlp.tools.ml.model.MutableContext

Updated the parameter or expected value at the specified outcomeIndex by adding the specified value to its current value.

V

validate() - Method in class opennlp.tools.ml.AbstractEventTrainer

validate() - Method in class opennlp.tools.ml.AbstractTrainer

Checks the configured parameters.

values - Variable in class opennlp.tools.ml.model.ComparableEvent

W

writeDouble(double) - Method in class opennlp.tools.ml.model.AbstractModelWriter

Writes a single double to the underlying DataOutputStream.

writeDouble(double) - Method in class opennlp.tools.ml.model.GenericModelWriter

writeInt(int) - Method in class opennlp.tools.ml.model.AbstractModelWriter

Writes a single int to the underlying DataOutputStream.

writeInt(int) - Method in class opennlp.tools.ml.model.GenericModelWriter

writeUTF(DataOutputStream, String) - Static method in class opennlp.tools.ml.model.ModelParameterChunker

Writes the model parameter s to dos.

writeUTF(String) - Method in class opennlp.tools.ml.model.AbstractModelWriter

Writes a String to the underlying DataOutputStream.

writeUTF(String) - Method in class opennlp.tools.ml.model.GenericModelWriter

A B C D E F G H I L M N O P R S T U V W
All Classes and Interfaces|All Packages|Constant Field Values