A B C D E F G H I K L M N O P Q R S T U V W

A

AbstractDataIndexer - Class in opennlp.model

Abstract class for collecting event and context counts used in training.

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

AbstractEventStream - Class in opennlp.model

AbstractEventStream() - Constructor for class opennlp.model.AbstractEventStream

AbstractModel - Class in opennlp.model

AbstractModel(Context[], String[], IndexHashTable<String>, String[]) - Constructor for class opennlp.model.AbstractModel

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

AbstractModel(Context[], String[], String[], int, double) - Constructor for class opennlp.model.AbstractModel

AbstractModel.ModelType - Enum in opennlp.model

AbstractModelReader - Class in opennlp.model

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

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

AbstractModelWriter - Class in opennlp.model

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

ALGORITHM_PARAM - Static variable in class opennlp.model.TrainUtil

ArrayMath - Class in opennlp.maxent.quasinewton

utility class for simple vector arithmetics.

ArrayMath() - Constructor for class opennlp.maxent.quasinewton.ArrayMath

B

BasicContextGenerator - Class in opennlp.maxent

Generate contexts for maxent decisions, assuming that the input given to the getContext() method is a String containing contextual predicates separated by spaces.

BasicContextGenerator() - Constructor for class opennlp.maxent.BasicContextGenerator

BasicContextGenerator(String) - Constructor for class opennlp.maxent.BasicContextGenerator

BasicEventStream - Class in opennlp.maxent

A object which can deliver a stream of training events assuming that each event is represented as a separated list containing all the contextual predicates, with the last item being the outcome.

BasicEventStream(DataStream, String) - Constructor for class opennlp.maxent.BasicEventStream

BasicEventStream(DataStream) - Constructor for class opennlp.maxent.BasicEventStream

BinaryFileDataReader - Class in opennlp.model

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

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

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

BinaryGISModelReader - Class in opennlp.maxent.io

A reader for GIS models stored in binary format.

BinaryGISModelReader(DataInputStream) - Constructor for class opennlp.maxent.io.BinaryGISModelReader

Constructor which directly instantiates the DataInputStream containing the model contents.

BinaryGISModelWriter - Class in opennlp.maxent.io

Model writer that saves models in binary format.

BinaryGISModelWriter(AbstractModel, File) - Constructor for class opennlp.maxent.io.BinaryGISModelWriter

Constructor which takes a GISModel and a File and prepares itself to write the model to that file.

BinaryGISModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.maxent.io.BinaryGISModelWriter

Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.

BinaryPerceptronModelReader - Class in opennlp.perceptron

BinaryPerceptronModelReader(DataInputStream) - Constructor for class opennlp.perceptron.BinaryPerceptronModelReader

Constructor which directly instantiates the DataInputStream containing the model contents.

BinaryPerceptronModelReader(File) - Constructor for class opennlp.perceptron.BinaryPerceptronModelReader

Constructor which takes a File and creates a reader for it.

BinaryPerceptronModelWriter - Class in opennlp.perceptron

Model writer that saves models in binary format.

BinaryPerceptronModelWriter(AbstractModel, File) - Constructor for class opennlp.perceptron.BinaryPerceptronModelWriter

Constructor which takes a GISModel and a File and prepares itself to write the model to that file.

BinaryPerceptronModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.perceptron.BinaryPerceptronModelWriter

Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.

BinaryQNModelReader - Class in opennlp.maxent.io

A reader for quasi-newton models stored in binary format.

BinaryQNModelReader(DataInputStream) - Constructor for class opennlp.maxent.io.BinaryQNModelReader

Constructor which directly instantiates the DataInputStream containing the model contents.

BinaryQNModelWriter - Class in opennlp.maxent.io

BinaryQNModelWriter(AbstractModel, File) - Constructor for class opennlp.maxent.io.BinaryQNModelWriter

Constructor which takes a GISModel and a File and prepares itself to write the model to that file.

BinaryQNModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.maxent.io.BinaryQNModelWriter

Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.

BinToAscii - Class in opennlp.maxent

A program to convert from java binary doubles to ascii

BinToAscii() - Constructor for class opennlp.maxent.BinToAscii

BinToAscii - Class in opennlp.maxent.io

A program to convert from java binary doubles to ascii.

BinToAscii() - Constructor for class opennlp.maxent.io.BinToAscii

C

calculateHashSum() - Method in class opennlp.model.HashSumEventStream

Calculates the hash sum of the stream.

checkModelType() - Method in class opennlp.maxent.io.GISModelReader

checkModelType() - Method in class opennlp.maxent.io.QNModelReader

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

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

checkModelType() - Method in class opennlp.perceptron.PerceptronModelReader

close() - Method in class opennlp.maxent.io.BinaryGISModelWriter

close() - Method in class opennlp.maxent.io.BinaryQNModelWriter

close() - Method in class opennlp.maxent.io.ObjectGISModelWriter

close() - Method in class opennlp.maxent.io.ObjectQNModelWriter

close() - Method in class opennlp.maxent.io.PlainTextGISModelWriter

close() - Method in class opennlp.maxent.io.SuffixSensitiveGISModelWriter

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

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

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

close() - Method in class opennlp.perceptron.BinaryPerceptronModelWriter

close() - Method in class opennlp.perceptron.PlainTextPerceptronModelWriter

close() - Method in class opennlp.perceptron.SuffixSensitivePerceptronModelWriter

ComparableEvent - Class in opennlp.model

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

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

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

ComparablePredicate - Class in opennlp.model

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

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

compareTo(DoubleStringPair) - Method in class opennlp.maxent.DoubleStringPair

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

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

constructModel() - Method in class opennlp.maxent.io.GISModelReader

Retrieve a model from disk.

constructModel() - Method in class opennlp.maxent.io.QNModelReader

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

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

constructModel() - Method in class opennlp.perceptron.PerceptronModelReader

Retrieve a model from disk.

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

Context - Class in opennlp.model

Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.

Context(int[], double[]) - Constructor for class opennlp.model.Context

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

ContextGenerator - Interface in opennlp.maxent

Generate contexts for maxent decisions.

Counter - Class in opennlp.maxent

A simple class which is essentially an Integer which is mutable via incrementation.

Counter() - Constructor for class opennlp.maxent.Counter

CUTOFF_PARAM - Static variable in class opennlp.model.TrainUtil

D

DATA_INDEXER_ONE_PASS_VALUE - Static variable in class opennlp.model.TrainUtil

DATA_INDEXER_PARAM - Static variable in class opennlp.model.TrainUtil

DATA_INDEXER_TWO_PASS_VALUE - Static variable in class opennlp.model.TrainUtil

DataIndexer - Interface in opennlp.model

Object which compresses events in memory and performs feature selection.

DataReader - Interface in opennlp.model

DataStream - Interface in opennlp.maxent

A interface for objects which can deliver a stream of training data to be supplied to an EventStream.

DEFAULT_M - Static variable in class opennlp.maxent.quasinewton.QNTrainer

DEFAULT_MAX_FCT_EVAL - Static variable in class opennlp.maxent.quasinewton.QNTrainer

DifferentiableFunction - Interface in opennlp.maxent.quasinewton

interface for a function that can be differentiated once.

doLineSearch(DifferentiableFunction, double[], LineSearchResult) - Static method in class opennlp.maxent.quasinewton.LineSearch

doLineSearch(DifferentiableFunction, double[], LineSearchResult, boolean) - Static method in class opennlp.maxent.quasinewton.LineSearch

DomainToModelMap - Class in opennlp.maxent

A class which stores a mapping from ModelDomain objects to MaxentModels.

DomainToModelMap() - Constructor for class opennlp.maxent.DomainToModelMap

DoubleStringPair - Class in opennlp.maxent

DoubleStringPair(double, String) - Constructor for class opennlp.maxent.DoubleStringPair

doubleValue - Variable in class opennlp.maxent.DoubleStringPair

DynamicEvalParameters - Class in opennlp.model

DynamicEvalParameters(List<? extends Context>, int) - Constructor for class opennlp.model.DynamicEvalParameters

Creates a set of paramters which can be evaulated with the eval method.

E

equals(Object) - Method in class opennlp.maxent.quasinewton.QNModel

eval(String[]) - Method in class opennlp.maxent.GISModel

Use this model to evaluate a context and return an array of the likelihood of each outcome given that context.

eval(String[], float[]) - Method in class opennlp.maxent.GISModel

eval(String[], double[]) - Method in class opennlp.maxent.GISModel

eval(String[], float[], double[]) - Method in class opennlp.maxent.GISModel

Use this model to evaluate a context and return an array of the likelihood of each outcome given that context.

eval(int[], double[], EvalParameters) - Static method in class opennlp.maxent.GISModel

Use this model to evaluate a context and return an array of the likelihood of each outcome given the specified context and the specified parameters.

eval(int[], float[], double[], EvalParameters) - Static method in class opennlp.maxent.GISModel

Use this model to evaluate a context and return an array of the likelihood of each outcome given the specified context and the specified parameters.

eval(String[]) - Method in class opennlp.maxent.quasinewton.QNModel

eval(String[], double[]) - Method in class opennlp.maxent.quasinewton.QNModel

eval(String[], float[]) - Method in class opennlp.maxent.quasinewton.QNModel

eval(MaxentModel, Reader, Evalable) - Static method in class opennlp.maxent.TrainEval

eval(MaxentModel, Reader, Evalable, boolean) - Static method in class opennlp.maxent.TrainEval

eval(String[]) - Method in interface opennlp.model.MaxentModel

Evaluates a context.

eval(String[], double[]) - Method in interface opennlp.model.MaxentModel

Evaluates a context.

eval(String[], float[]) - Method in interface opennlp.model.MaxentModel

Evaluates a contexts with the specified context values.

eval(String[]) - Method in class opennlp.perceptron.PerceptronModel

eval(String[], float[]) - Method in class opennlp.perceptron.PerceptronModel

eval(String[], double[]) - Method in class opennlp.perceptron.PerceptronModel

eval(String[], float[], double[]) - Method in class opennlp.perceptron.PerceptronModel

eval(int[], double[], EvalParameters) - Static method in class opennlp.perceptron.PerceptronModel

eval(int[], float[], double[], EvalParameters, boolean) - Static method in class opennlp.perceptron.PerceptronModel

Evalable - Interface in opennlp.maxent

Interface for components which use maximum entropy models and can evaluate the performace of the models using the TrainEval class.

EvalParameters - Class in opennlp.model

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

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

Creates a set of paramters which can be evaulated with the eval method.

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

Event - Class in opennlp.model

The context of a decision point during training.

Event(String, String[]) - Constructor for class opennlp.model.Event

Event(String, String[], float[]) - Constructor for class opennlp.model.Event

EventCollector - Interface in opennlp.model

An interface for objects which read events during training.

EventCollectorAsStream - Class in opennlp.model

A wrapper to turn EventCollectors created for Maxent 1.0 into EventStreams for Maxent 1.2.

EventCollectorAsStream(EventCollector) - Constructor for class opennlp.model.EventCollectorAsStream

EventStream - Interface in opennlp.model

A object which can deliver a stream of training events for the GIS procedure (or others such as IIS if and when they are implemented).

F

FileEventStream - Class in opennlp.model

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

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

Creates a new file event stream from the specified file name.

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

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

Creates a new file event stream from the specified file.

finishUsingModel() - Method in class opennlp.maxent.ModelReplacementManager

Inform the manager that a thread is done using the model, and thus is not dependending on it being unchanged.

Function - Interface in opennlp.maxent.quasinewton

interface for a function.

G

GenericModelReader - Class in opennlp.model

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

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

GenericModelWriter - Class in opennlp.model

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

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

get(int) - Method in class opennlp.maxent.IntegerPool

Returns the shared Integer wrapper for value if it is inside the range managed by this pool.

get(T) - Method in class opennlp.model.IndexHashTable

Retrieves the index for the specified key.

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

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

getAllOutcomes(double[]) - Method in interface opennlp.model.MaxentModel

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

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

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

getBestOutcome(double[]) - Method in interface opennlp.model.MaxentModel

Simple function to return the outcome associated with the index containing the highest probability in the double[].

getConstantInverse() - Method in class opennlp.model.EvalParameters

getContext(Object) - Method in class opennlp.maxent.BasicContextGenerator

Builds up the list of contextual predicates given a String.

getContext(Object) - Method in interface opennlp.maxent.ContextGenerator

Builds up the list of contextual predicates given an Object.

getContext() - Method in class opennlp.model.Event

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

getContexts() - Method in interface opennlp.model.DataIndexer

Returns the array of predicates seen in each event.

getCorrectionConstant() - Method in class opennlp.model.EvalParameters

getCorrectionParam() - Method in class opennlp.model.EvalParameters

getCurrPoint() - Method in class opennlp.maxent.quasinewton.LineSearchResult

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

Provides the fundamental data structures which encode the maxent model information.

getDataStructures() - Method in interface opennlp.model.MaxentModel

Returns the data structures relevant to storing the model.

getDomainDimension() - Method in interface opennlp.maxent.quasinewton.Function

getDomainDimension() - Method in class opennlp.maxent.quasinewton.LogLikelihoodFunction

getEventCollector(Reader) - Method in interface opennlp.maxent.Evalable

Returns the EventCollector that is used to collect all relevant information from the data file.

getEvents() - Method in interface opennlp.model.EventCollector

Return the events which this EventCollector has gathered.

getEvents(boolean) - Method in interface opennlp.model.EventCollector

Return the events which this EventCollector has gathered based on whether we wish to train a model or evaluate one based on those events.

getEvents() - Method in class opennlp.model.Sequence

Returns the events which make up this sequence.

getFctEvalCount() - Method in class opennlp.maxent.quasinewton.LineSearchResult

getGradAtCurr() - Method in class opennlp.maxent.quasinewton.LineSearchResult

getGradAtNext() - Method in class opennlp.maxent.quasinewton.LineSearchResult

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

Gets the index associated with the String name of the given outcome.

getIndex(String) - Method in interface opennlp.model.MaxentModel

Gets the index associated with the String name of the given outcome.

getInitialObject(double, double[], double[], int) - Static method in class opennlp.maxent.quasinewton.LineSearchResult

getInitialObject(double, double[], double[]) - Static method in class opennlp.maxent.quasinewton.LineSearchResult

getInitialPoint() - Method in class opennlp.maxent.quasinewton.LogLikelihoodFunction

getModel(ModelDomain) - Method in class opennlp.maxent.DomainToModelMap

Get the model mapped to by the given ModelDomain key.

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

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

getName() - Method in interface opennlp.maxent.ModelDomain

Get the name of this domain.

getNegativeOutcome() - Method in interface opennlp.maxent.Evalable

The outcome that should be considered a negative result.

getNextPoint() - Method in class opennlp.maxent.quasinewton.LineSearchResult

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

getNumEvents() - Method in interface opennlp.model.DataIndexer

Returns the number of total events indexed.

getNumOutcomes() - Method in class opennlp.maxent.quasinewton.QNModel

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

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

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

getNumOutcomes() - Method in interface opennlp.model.MaxentModel

Returns the number of outcomes for this model.

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

getNumTimesEventsSeen() - Method in interface opennlp.model.DataIndexer

Returns an array indicating the number of times a particular event was seen.

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

Return the name of an outcome corresponding to an int id.

getOutcome() - Method in class opennlp.model.Event

getOutcome(int) - Method in interface opennlp.model.MaxentModel

Gets the String name of the outcome associated with the index i.

getOutcomeLabels() - Method in class opennlp.maxent.quasinewton.LogLikelihoodFunction

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

getOutcomeLabels() - Method in interface opennlp.model.DataIndexer

Returns an array of outcome names.

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

getOutcomeList() - Method in interface opennlp.model.DataIndexer

Returns an array indicating the outcome index for each event.

getOutcomePatterns() - Method in class opennlp.maxent.quasinewton.LogLikelihoodFunction

getOutcomes() - Method in class opennlp.model.Context

Returns the outcomes for which parameters exists for this context.

getParameters() - Method in class opennlp.maxent.quasinewton.QNModel

getParameters() - Method in class opennlp.model.Context

Returns the parameters or expected values for the outcomes which occur with this context.

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

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

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

getPredCounts() - Method in interface opennlp.model.DataIndexer

Returns an array of the count of each predicate in the events.

getPredLabels() - Method in class opennlp.maxent.quasinewton.LogLikelihoodFunction

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

getPredLabels() - Method in interface opennlp.model.DataIndexer

Returns an array of predicate/context names.

getSource() - Method in class opennlp.model.Sequence

Returns an object from which this sequence can be derived.

getStepSize() - Method in class opennlp.maxent.quasinewton.LineSearchResult

getValueAtCurr() - Method in class opennlp.maxent.quasinewton.LineSearchResult

getValueAtNext() - Method in class opennlp.maxent.quasinewton.LineSearchResult

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

getValues() - Method in interface opennlp.model.DataIndexer

Returns the values associated with each event context or null if integer values are to be used.

getValues() - Method in class opennlp.model.Event

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

GIS - Class in opennlp.maxent

A Factory class which uses instances of GISTrainer to create and train GISModels.

GIS() - Constructor for class opennlp.maxent.GIS

GISModel - Class in opennlp.maxent

A maximum entropy model which has been trained using the Generalized Iterative Scaling procedure (implemented in GIS.java).

GISModel(Context[], String[], String[], int, double) - Constructor for class opennlp.maxent.GISModel

Creates a new model with the specified parameters, outcome names, and predicate/feature labels.

GISModel(Context[], String[], String[], int, double, Prior) - Constructor for class opennlp.maxent.GISModel

Creates a new model with the specified parameters, outcome names, and predicate/feature labels.

GISModelReader - Class in opennlp.maxent.io

Abstract parent class for readers of GISModels.

GISModelReader(File) - Constructor for class opennlp.maxent.io.GISModelReader

GISModelReader(DataReader) - Constructor for class opennlp.maxent.io.GISModelReader

GISModelWriter - Class in opennlp.maxent.io

Abstract parent class for GISModel writers.

GISModelWriter(AbstractModel) - Constructor for class opennlp.maxent.io.GISModelWriter

gradientAt(double[]) - Method in interface opennlp.maxent.quasinewton.DifferentiableFunction

gradientAt(double[]) - Method in class opennlp.maxent.quasinewton.LogLikelihoodFunction

H

HashSumEventStream - Class in opennlp.model

HashSumEventStream(EventStream) - Constructor for class opennlp.model.HashSumEventStream

hasNext() - Method in class opennlp.maxent.BasicEventStream

Test whether there are any Events remaining in this EventStream.

hasNext() - Method in interface opennlp.maxent.DataStream

Test whether there are any Events remaining in this EventStream.

hasNext() - Method in class opennlp.maxent.PlainTextByLineDataStream

hasNext() - Method in class opennlp.maxent.RealBasicEventStream

hasNext() - Method in class opennlp.model.EventCollectorAsStream

hasNext() - Method in interface opennlp.model.EventStream

Test whether there are any Events remaining in this EventStream.

hasNext() - Method in class opennlp.model.FileEventStream

hasNext() - Method in class opennlp.model.HashSumEventStream

hasNext() - Method in class opennlp.model.ListEventStream

hasNext() - Method in class opennlp.model.SequenceStreamEventStream

I

increment() - Method in class opennlp.maxent.Counter

IndexHashTable<T> - Class in opennlp.model

The IndexHashTable is a hash table which maps entries of an array to their index in the array.

IndexHashTable(T[], double) - Constructor for class opennlp.model.IndexHashTable

Initializes the current instance.

innerProduct(double[], double[]) - Static method in class opennlp.maxent.quasinewton.ArrayMath

IntegerPool - Class in opennlp.maxent

A pool of read-only, unsigned Integer objects within a fixed, non-sparse range.

IntegerPool(int) - Constructor for class opennlp.maxent.IntegerPool

Creates an IntegerPool with 0..size Integer objects.

intValue() - Method in class opennlp.maxent.Counter

isSequenceTraining(Map<String, String>) - Static method in class opennlp.model.TrainUtil

Detects if the training algorithm requires sequence based feature generation or not.

isValid(Map<String, String>) - Static method in class opennlp.model.TrainUtil

ITERATIONS_PARAM - Static variable in class opennlp.model.TrainUtil

K

keySet() - Method in class opennlp.maxent.DomainToModelMap

A set view of the ModelDomain keys contained in this map.

L

LineSearch - Class in opennlp.maxent.quasinewton

class that performs line search.

LineSearch() - Constructor for class opennlp.maxent.quasinewton.LineSearch

LineSearchResult - Class in opennlp.maxent.quasinewton

class to store lineSearch result

LineSearchResult(double, double, double, double[], double[], double[], double[], int) - Constructor for class opennlp.maxent.quasinewton.LineSearchResult

ListEventStream - Class in opennlp.model

ListEventStream(List<Event>) - Constructor for class opennlp.model.ListEventStream

localEval(MaxentModel, Reader, Evalable, boolean) - Method in interface opennlp.maxent.Evalable

If the -l option is selected for evaluation, this method will be called rather than TrainEval's evaluation method.

LogLikelihoodFunction - Class in opennlp.maxent.quasinewton

Evaluate log likelihood and its gradient from DataIndexer.

LogLikelihoodFunction(DataIndexer) - Constructor for class opennlp.maxent.quasinewton.LogLikelihoodFunction

logPrior(double[], int[]) - Method in interface opennlp.model.Prior

Populates the specified array with the the log of the distribution for the specified context.

logPrior(double[], int[], float[]) - Method in interface opennlp.model.Prior

Populates the specified array with the the log of the distribution for the specified context.

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

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

M

main(String[]) - Static method in class opennlp.maxent.BinToAscii

main(String[]) - Static method in class opennlp.maxent.GISModel

main(String[]) - Static method in class opennlp.maxent.io.BinToAscii

main(String[]) - Static method in class opennlp.maxent.io.OldFormatGISModelReader

Convert a model created with Maxent 1.0 to a format used with Maxent 1.2.

main(String[]) - Static method in class opennlp.maxent.io.SuffixSensitiveGISModelReader

To convert between different formats of the new style.

Main - Class in opennlp.maxent

Main file for opennlp.maxent.

Main() - Constructor for class opennlp.maxent.Main

main(String[]) - Static method in class opennlp.maxent.Main

main(String[]) - Static method in class opennlp.maxent.ModelApplier

Main method.

main(String[]) - Static method in class opennlp.maxent.ModelTrainer

Main method.

main(String[]) - Static method in class opennlp.maxent.RealBasicEventStream

main(String[]) - Static method in class opennlp.model.FileEventStream

Trains and writes a model based on the events in the specified event file.

main(String[]) - Static method in class opennlp.model.GenericModelReader

main(String[]) - Static method in class opennlp.model.RealValueFileEventStream

Trains and writes a model based on the events in the specified event file.

main(String[]) - Static method in class opennlp.perceptron.PerceptronModel

MAX_FCT_EVAL - Static variable in class opennlp.maxent.quasinewton.QNTrainer

MAXENT_QN_VALUE - Static variable in class opennlp.model.TrainUtil

MAXENT_VALUE - Static variable in class opennlp.model.TrainUtil

MaxentModel - Interface in opennlp.model

Interface for maximum entropy models.

ModelApplier - Class in opennlp.maxent

Test the model on some input.

ModelApplier(MaxentModel) - Constructor for class opennlp.maxent.ModelApplier

ModelDomain - Interface in opennlp.maxent

A simple interface that represents a domain to which a particular maxent model is primarily applicable.

ModelReplacementManager - Class in opennlp.maxent

A object which can be used to ensure that a Maxent application can swap the model currently in use with a new one in a thread-safe manner without stopping the servicing of requests.

ModelReplacementManager(ModelSetter) - Constructor for class opennlp.maxent.ModelReplacementManager

ModelSetter - Interface in opennlp.maxent

A object to facilitate the resetting of a MaxentModel variable to a new value (model).

ModelTrainer - Class in opennlp.maxent

Main class which calls the GIS procedure after building the EventStream from the data.

ModelTrainer() - Constructor for class opennlp.maxent.ModelTrainer

MutableContext - Class in opennlp.model

Class used to store parameters or expected values associated with this context which can be updated or assigned.

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

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

N

name - Variable in class opennlp.model.ComparablePredicate

next() - Method in class opennlp.maxent.BasicEventStream

Returns the next Event object held in this EventStream.

next() - Method in class opennlp.maxent.RealBasicEventStream

next() - Method in class opennlp.model.EventCollectorAsStream

next() - Method in interface opennlp.model.EventStream

Returns the next Event object held in this EventStream.

next() - Method in class opennlp.model.FileEventStream

next() - Method in class opennlp.model.HashSumEventStream

next() - Method in class opennlp.model.ListEventStream

next() - Method in class opennlp.model.RealValueFileEventStream

next() - Method in class opennlp.model.SequenceStreamEventStream

nextIteration(int) - Method in class opennlp.perceptron.SimplePerceptronSequenceTrainer

nextToken() - Method in interface opennlp.maxent.DataStream

Returns the next slice of data held in this DataStream.

nextToken() - Method in class opennlp.maxent.PlainTextByLineDataStream

O

ObjectDataReader - Class in opennlp.model

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

ObjectGISModelReader - Class in opennlp.maxent.io

ObjectGISModelReader(ObjectInputStream) - Constructor for class opennlp.maxent.io.ObjectGISModelReader

Constructor which directly instantiates the ObjectInputStream containing the model contents.

ObjectGISModelWriter - Class in opennlp.maxent.io

ObjectGISModelWriter(AbstractModel, ObjectOutputStream) - Constructor for class opennlp.maxent.io.ObjectGISModelWriter

Constructor which takes a GISModel and a ObjectOutputStream and prepares itself to write the model to that stream.

ObjectQNModelReader - Class in opennlp.maxent.io

ObjectQNModelReader(ObjectInputStream) - Constructor for class opennlp.maxent.io.ObjectQNModelReader

ObjectQNModelWriter - Class in opennlp.maxent.io

ObjectQNModelWriter(AbstractModel, ObjectOutputStream) - Constructor for class opennlp.maxent.io.ObjectQNModelWriter

Constructor which takes a GISModel and a ObjectOutputStream and prepares itself to write the model to that stream.

OldFormatGISModelReader - Class in opennlp.maxent.io

A reader for GIS models stored in the format used in v1.0 of Maxent.

OldFormatGISModelReader(String) - Constructor for class opennlp.maxent.io.OldFormatGISModelReader

Constructor which takes the name of the model without any suffixes, such as ".mei.gz" or ".mep.gz".

OnePassDataIndexer - Class in opennlp.model

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

OnePassDataIndexer(EventStream) - Constructor for class opennlp.model.OnePassDataIndexer

One argument constructor for DataIndexer which calls the two argument constructor assuming no cutoff.

OnePassDataIndexer(EventStream, int) - Constructor for class opennlp.model.OnePassDataIndexer

OnePassDataIndexer(EventStream, int, boolean) - Constructor for class opennlp.model.OnePassDataIndexer

Two argument constructor for DataIndexer.

OnePassRealValueDataIndexer - Class in opennlp.model

An indexer 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(EventStream, int, boolean) - Constructor for class opennlp.model.OnePassRealValueDataIndexer

OnePassRealValueDataIndexer(EventStream, int) - Constructor for class opennlp.model.OnePassRealValueDataIndexer

Two argument constructor for DataIndexer.

opennlp.maxent - package opennlp.maxent

Provides main functionality of the maxent package including data structures and algorithms for parameter estimation.

opennlp.maxent.io - package opennlp.maxent.io

Provides the I/O functionality of the maxent package including reading and writting models in several formats.

opennlp.maxent.quasinewton - package opennlp.maxent.quasinewton

opennlp.model - package opennlp.model

opennlp.perceptron - package opennlp.perceptron

outcome - Variable in class opennlp.model.ComparableEvent

outcomes - Variable in class opennlp.model.ComparablePredicate

P

params - Variable in class opennlp.model.ComparablePredicate

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

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

passesCutoff(int) - Method in class opennlp.maxent.Counter

PERCEPTRON_SEQUENCE_VALUE - Static variable in class opennlp.model.TrainUtil

PERCEPTRON_VALUE - Static variable in class opennlp.model.TrainUtil

PerceptronModel - Class in opennlp.perceptron

PerceptronModel(Context[], String[], IndexHashTable<String>, String[]) - Constructor for class opennlp.perceptron.PerceptronModel

PerceptronModel(Context[], String[], Map<String, Integer>, String[]) - Constructor for class opennlp.perceptron.PerceptronModel

Deprecated. use the constructor with the IndexHashTable instead!

PerceptronModel(Context[], String[], String[]) - Constructor for class opennlp.perceptron.PerceptronModel

PerceptronModelReader - Class in opennlp.perceptron

Abstract parent class for readers of Perceptron.

PerceptronModelReader(File) - Constructor for class opennlp.perceptron.PerceptronModelReader

PerceptronModelReader(DataReader) - Constructor for class opennlp.perceptron.PerceptronModelReader

PerceptronModelWriter - Class in opennlp.perceptron

Abstract parent class for Perceptron writers.

PerceptronModelWriter(AbstractModel) - Constructor for class opennlp.perceptron.PerceptronModelWriter

PerceptronTrainer - Class in opennlp.perceptron

Trains models using the perceptron algorithm.

PerceptronTrainer() - Constructor for class opennlp.perceptron.PerceptronTrainer

persist() - Method in class opennlp.maxent.io.GISModelWriter

Writes the model to disk, using the writeX() methods provided by extending classes.

persist() - Method in class opennlp.maxent.io.QNModelWriter

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

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

persist() - Method in class opennlp.perceptron.PerceptronModelWriter

Writes the model to disk, using the writeX() methods provided by extending classes.

PlainTextByLineDataStream - Class in opennlp.maxent

This DataStream implementation will take care of reading a plain text file and returning the Strings between each new line character, which is what many Maxent applications need in order to create EventStreams.

PlainTextByLineDataStream(Reader) - Constructor for class opennlp.maxent.PlainTextByLineDataStream

PlainTextFileDataReader - Class in opennlp.model

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

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

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

PlainTextGISModelReader - Class in opennlp.maxent.io

A reader for GIS models stored in plain text format.

PlainTextGISModelReader(BufferedReader) - Constructor for class opennlp.maxent.io.PlainTextGISModelReader

Constructor which directly instantiates the BufferedReader containing the model contents.

PlainTextGISModelReader(File) - Constructor for class opennlp.maxent.io.PlainTextGISModelReader

Constructor which takes a File and creates a reader for it.

PlainTextGISModelWriter - Class in opennlp.maxent.io

Model writer that saves models in plain text format.

PlainTextGISModelWriter(AbstractModel, File) - Constructor for class opennlp.maxent.io.PlainTextGISModelWriter

Constructor which takes a GISModel and a File and prepares itself to write the model to that file.

PlainTextGISModelWriter(AbstractModel, BufferedWriter) - Constructor for class opennlp.maxent.io.PlainTextGISModelWriter

Constructor which takes a GISModel and a BufferedWriter and prepares itself to write the model to that writer.

PlainTextPerceptronModelReader - Class in opennlp.perceptron

PlainTextPerceptronModelReader(BufferedReader) - Constructor for class opennlp.perceptron.PlainTextPerceptronModelReader

Constructor which directly instantiates the BufferedReader containing the model contents.

PlainTextPerceptronModelReader(File) - Constructor for class opennlp.perceptron.PlainTextPerceptronModelReader

Constructor which takes a File and creates a reader for it.

PlainTextPerceptronModelWriter - Class in opennlp.perceptron

Model writer that saves models in plain text format.

PlainTextPerceptronModelWriter(AbstractModel, File) - Constructor for class opennlp.perceptron.PlainTextPerceptronModelWriter

Constructor which takes a PerceptronModel and a File and prepares itself to write the model to that file.

PlainTextPerceptronModelWriter(AbstractModel, BufferedWriter) - Constructor for class opennlp.perceptron.PlainTextPerceptronModelWriter

Constructor which takes a PerceptronModel and a BufferedWriter and prepares itself to write the model to that writer.

PooledGISModelReader - Class in opennlp.maxent.io

This class works exactly like the SuffisSensitiveGISModelReader except that it attempts to pool all context strings.

PooledGISModelReader(File) - Constructor for class opennlp.maxent.io.PooledGISModelReader

A reader for GIS models which inspects the filename and invokes the appropriate GISModelReader depending on the filename's suffixes.

predIndexes - Variable in class opennlp.model.ComparableEvent

PRINT_MESSAGES - Static variable in class opennlp.maxent.GIS

Set this to false if you don't want messages about the progress of model training displayed.

Prior - Interface in opennlp.model

This interface allows one to implement a prior distribution for use in maximum entropy model training.

Q

QNModel - Class in opennlp.maxent.quasinewton

QNModel(LogLikelihoodFunction, double[]) - Constructor for class opennlp.maxent.quasinewton.QNModel

QNModel(String[], String[], Context[], double[]) - Constructor for class opennlp.maxent.quasinewton.QNModel

QNModelReader - Class in opennlp.maxent.io

QNModelReader(DataReader) - Constructor for class opennlp.maxent.io.QNModelReader

QNModelReader(File) - Constructor for class opennlp.maxent.io.QNModelReader

QNModelWriter - Class in opennlp.maxent.io

QNModelWriter(AbstractModel) - Constructor for class opennlp.maxent.io.QNModelWriter

QNTrainer - Class in opennlp.maxent.quasinewton

maxent model trainer using l-bfgs algorithm.

QNTrainer() - Constructor for class opennlp.maxent.quasinewton.QNTrainer

QNTrainer(boolean) - Constructor for class opennlp.maxent.quasinewton.QNTrainer

QNTrainer(int) - Constructor for class opennlp.maxent.quasinewton.QNTrainer

QNTrainer(int, boolean) - Constructor for class opennlp.maxent.quasinewton.QNTrainer

QNTrainer(int, int, boolean) - Constructor for class opennlp.maxent.quasinewton.QNTrainer

R

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

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

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

readDouble() - Method in interface opennlp.model.DataReader

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

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

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

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

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

readInt() - Method in interface opennlp.model.DataReader

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

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

readUTF() - Method in class opennlp.maxent.io.PooledGISModelReader

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

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

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

readUTF() - Method in interface opennlp.model.DataReader

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

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

RealBasicEventStream - Class in opennlp.maxent

RealBasicEventStream(DataStream) - Constructor for class opennlp.maxent.RealBasicEventStream

RealValueFileEventStream - Class in opennlp.model

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

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

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

remove() - Method in class opennlp.model.AbstractEventStream

remove() - Method in class opennlp.model.HashSumEventStream

remove() - Method in class opennlp.model.SequenceStreamEventStream

removeDomain(ModelDomain) - Method in class opennlp.maxent.DomainToModelMap

Removes the mapping for this ModelDomain key from this map if present.

replaceModel(MaxentModel) - Method in class opennlp.maxent.ModelReplacementManager

Replace the old model with a new one, forcing the replacement to wait until all threads using the old model have finished using it.

ROUNDED_FORMAT - Static variable in class opennlp.maxent.ModelApplier

run(String[], Evalable) - Static method in class opennlp.maxent.TrainEval

S

seen - Variable in class opennlp.model.ComparableEvent

Sequence<T> - Class in opennlp.model

Class which models a sequence.

Sequence(Event[], T) - Constructor for class opennlp.model.Sequence

Creates a new sequence made up of the specified events and derived from the specified source.

SequenceStream - Interface in opennlp.model

Interface for streams of sequences used to train sequence models.

SequenceStreamEventStream - Class in opennlp.model

Class which turns a sequence stream into an event stream.

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

setCorrectionParam(double) - Method in class opennlp.model.EvalParameters

setCurrPoint(double[]) - Method in class opennlp.maxent.quasinewton.LineSearchResult

setFctEvalCount(int) - Method in class opennlp.maxent.quasinewton.LineSearchResult

setGradAtCurr(double[]) - Method in class opennlp.maxent.quasinewton.LineSearchResult

setGradAtNext(double[]) - Method in class opennlp.maxent.quasinewton.LineSearchResult

setLabels(String[], String[]) - Method in interface opennlp.model.Prior

Method to specify the label for the outcomes and contexts.

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

setModel(MaxentModel) - Method in interface opennlp.maxent.ModelSetter

Assign a new MaxentModel value to a MaxentModel variable.

setModelForDomain(ModelDomain, MaxentModel) - Method in class opennlp.maxent.DomainToModelMap

Sets the model for the given domain.

setNextPoint(double[]) - Method in class opennlp.maxent.quasinewton.LineSearchResult

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

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

setSkippedAveraging(boolean) - Method in class opennlp.perceptron.PerceptronTrainer

Enables skipped averaging, this flag changes the standard averaging to special averaging instead.

setStepSize(double) - Method in class opennlp.maxent.quasinewton.LineSearchResult

setStepSizeDecrease(double) - Method in class opennlp.perceptron.PerceptronTrainer

Enables and sets step size decrease.

setTolerance(double) - Method in class opennlp.perceptron.PerceptronTrainer

Specifies the tolerance.

setValueAtCurr(double) - Method in class opennlp.maxent.quasinewton.LineSearchResult

setValueAtNext(double) - Method in class opennlp.maxent.quasinewton.LineSearchResult

SimplePerceptronSequenceTrainer - Class in opennlp.perceptron

Trains models for sequences using the perceptron algorithm.

SimplePerceptronSequenceTrainer() - Constructor for class opennlp.perceptron.SimplePerceptronSequenceTrainer

size() - Method in class opennlp.model.IndexHashTable

Retrieves the size.

SMOOTHING_OBSERVATION - Static variable in class opennlp.maxent.GIS

If we are using smoothing, this is used as the "number" of times we want the trainer to imagine that it saw a feature that it actually didn't see.

SMOOTHING_OBSERVATION - Static variable in class opennlp.maxent.ModelTrainer

startUsingModel() - Method in class opennlp.maxent.ModelReplacementManager

Inform the manager that a thread is using the model.

stringValue - Variable in class opennlp.maxent.DoubleStringPair

SuffixSensitiveGISModelReader - Class in opennlp.maxent.io

A reader for GIS models which inspects the filename and invokes the appropriate GISModelReader depending on the filename's suffixes.

SuffixSensitiveGISModelReader(File) - Constructor for class opennlp.maxent.io.SuffixSensitiveGISModelReader

Constructor which takes a File and invokes the GISModelReader appropriate for the suffix.

SuffixSensitiveGISModelWriter - Class in opennlp.maxent.io

A writer for GIS models which inspects the filename and invokes the appropriate GISModelWriter depending on the filename's suffixes.

SuffixSensitiveGISModelWriter(AbstractModel, File) - Constructor for class opennlp.maxent.io.SuffixSensitiveGISModelWriter

Constructor which takes a GISModel and a File and invokes the GISModelWriter appropriate for the suffix.

SuffixSensitivePerceptronModelWriter - Class in opennlp.perceptron

A writer for GIS models which inspects the filename and invokes the appropriate GISModelWriter depending on the filename's suffixes.

SuffixSensitivePerceptronModelWriter(AbstractModel, File) - Constructor for class opennlp.perceptron.SuffixSensitivePerceptronModelWriter

Constructor which takes a GISModel and a File and invokes the GISModelWriter appropriate for the suffix.

T

toArray(T[]) - Method in class opennlp.model.IndexHashTable

TOLERANCE_DEFAULT - Static variable in class opennlp.perceptron.PerceptronTrainer

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

Generates a string representing the specified event.

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

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

toString() - Method in class opennlp.model.Event

train(EventStream, int) - Static method in class opennlp.maxent.TrainEval

train(EventStream, Map<String, String>, Map<String, String>) - Static method in class opennlp.model.TrainUtil

train(SequenceStream, Map<String, String>, Map<String, String>) - Static method in class opennlp.model.TrainUtil

TrainEval - Class in opennlp.maxent

Trains or evaluates maxent components which have implemented the Evalable interface.

TrainEval() - Constructor for class opennlp.maxent.TrainEval

trainModel(EventStream) - Static method in class opennlp.maxent.GIS

Train a model using the GIS algorithm, assuming 100 iterations and no cutoff.

trainModel(EventStream, boolean) - Static method in class opennlp.maxent.GIS

Train a model using the GIS algorithm, assuming 100 iterations and no cutoff.

trainModel(EventStream, int, int) - Static method in class opennlp.maxent.GIS

Train a model using the GIS algorithm.

trainModel(EventStream, int, int, boolean, boolean) - Static method in class opennlp.maxent.GIS

Train a model using the GIS algorithm.

trainModel(EventStream, int, int, double) - Static method in class opennlp.maxent.GIS

Train a model using the GIS algorithm.

trainModel(int, DataIndexer, boolean) - Static method in class opennlp.maxent.GIS

Train a model using the GIS algorithm.

trainModel(int, DataIndexer) - Static method in class opennlp.maxent.GIS

Train a model using the GIS algorithm.

trainModel(int, DataIndexer, Prior, int) - Static method in class opennlp.maxent.GIS

Train a model using the GIS algorithm with the specified number of iterations, data indexer, and prior.

trainModel(int, DataIndexer, boolean, boolean, Prior, int) - Static method in class opennlp.maxent.GIS

Train a model using the GIS algorithm.

trainModel(int, DataIndexer, boolean, boolean, Prior, int, int) - Static method in class opennlp.maxent.GIS

Train a model using the GIS algorithm.

trainModel(DataIndexer) - Method in class opennlp.maxent.quasinewton.QNTrainer

trainModel(int, DataIndexer, int) - Method in class opennlp.perceptron.PerceptronTrainer

trainModel(int, DataIndexer, int, boolean) - Method in class opennlp.perceptron.PerceptronTrainer

trainModel(int, SequenceStream, int, boolean) - Method in class opennlp.perceptron.SimplePerceptronSequenceTrainer

TrainUtil - Class in opennlp.model

TrainUtil() - Constructor for class opennlp.model.TrainUtil

TwoPassDataIndexer - Class in opennlp.model

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

TwoPassDataIndexer(EventStream) - Constructor for class opennlp.model.TwoPassDataIndexer

One argument constructor for DataIndexer which calls the two argument constructor assuming no cutoff.

TwoPassDataIndexer(EventStream, int) - Constructor for class opennlp.model.TwoPassDataIndexer

TwoPassDataIndexer(EventStream, int, boolean) - Constructor for class opennlp.model.TwoPassDataIndexer

Two argument constructor for DataIndexer.

U

UniformPrior - Class in opennlp.model

Provide a maximum entropy model with a uniform prior.

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

updateContext(Sequence, AbstractModel) - Method in interface opennlp.model.SequenceStream

Creates a new event array based on the outcomes predicted by the specified parameters for the specified sequence.

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

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

updatePoint(double[], double[], double) - Static method in class opennlp.maxent.quasinewton.ArrayMath

USE_SMOOTHING - Static variable in class opennlp.maxent.ModelTrainer

V

valueAt(double[]) - Method in interface opennlp.maxent.quasinewton.Function

valueAt(double[]) - Method in class opennlp.maxent.quasinewton.LogLikelihoodFunction

valueOf(String) - Static method in enum opennlp.model.AbstractModel.ModelType

Returns the enum constant of this type with the specified name.

values() - Static method in enum opennlp.model.AbstractModel.ModelType

Returns an array containing the constants of this enum type, in the order they're declared.

values - Variable in class opennlp.model.ComparableEvent

W

writeDouble(double) - Method in class opennlp.maxent.io.BinaryGISModelWriter

writeDouble(double) - Method in class opennlp.maxent.io.BinaryQNModelWriter

writeDouble(double) - Method in class opennlp.maxent.io.ObjectGISModelWriter

writeDouble(double) - Method in class opennlp.maxent.io.ObjectQNModelWriter

writeDouble(double) - Method in class opennlp.maxent.io.PlainTextGISModelWriter

writeDouble(double) - Method in class opennlp.maxent.io.SuffixSensitiveGISModelWriter

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

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

writeDouble(double) - Method in class opennlp.perceptron.BinaryPerceptronModelWriter

writeDouble(double) - Method in class opennlp.perceptron.PlainTextPerceptronModelWriter

writeDouble(double) - Method in class opennlp.perceptron.SuffixSensitivePerceptronModelWriter

writeInt(int) - Method in class opennlp.maxent.io.BinaryGISModelWriter

writeInt(int) - Method in class opennlp.maxent.io.BinaryQNModelWriter

writeInt(int) - Method in class opennlp.maxent.io.ObjectGISModelWriter

writeInt(int) - Method in class opennlp.maxent.io.ObjectQNModelWriter

writeInt(int) - Method in class opennlp.maxent.io.PlainTextGISModelWriter

writeInt(int) - Method in class opennlp.maxent.io.SuffixSensitiveGISModelWriter

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

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

writeInt(int) - Method in class opennlp.perceptron.BinaryPerceptronModelWriter

writeInt(int) - Method in class opennlp.perceptron.PlainTextPerceptronModelWriter

writeInt(int) - Method in class opennlp.perceptron.SuffixSensitivePerceptronModelWriter

writeUTF(String) - Method in class opennlp.maxent.io.BinaryGISModelWriter

writeUTF(String) - Method in class opennlp.maxent.io.BinaryQNModelWriter

writeUTF(String) - Method in class opennlp.maxent.io.ObjectGISModelWriter

writeUTF(String) - Method in class opennlp.maxent.io.ObjectQNModelWriter

writeUTF(String) - Method in class opennlp.maxent.io.PlainTextGISModelWriter

writeUTF(String) - Method in class opennlp.maxent.io.SuffixSensitiveGISModelWriter

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

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

writeUTF(String) - Method in class opennlp.perceptron.BinaryPerceptronModelWriter

writeUTF(String) - Method in class opennlp.perceptron.PlainTextPerceptronModelWriter

writeUTF(String) - Method in class opennlp.perceptron.SuffixSensitivePerceptronModelWriter

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