# 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 with an optional per-thread contexts cache.
bestSequence(T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch
bestSequences(int, T[], Object[], double, BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch
bestSequences(int, T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch
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<Event>) - Constructor for class opennlp.tools.ml.model.ChecksumEventStream
  Initializes an `ChecksumEventStream`.
close() - Method in class opennlp.tools.ml.BeamSearch
  Clears `ThreadLocal` state for the current thread only.
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<P>) - Method in class opennlp.tools.ml.AbstractEventTrainer
doTrain(SequenceStream<Event>) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer
DynamicEvalParameters - Class in opennlp.tools.ml.model
DynamicEvalParameters(List<? extends Context>, 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<Event>) - Method in class opennlp.tools.ml.AbstractEventTrainer
getDataIndexer(P, Map<String, String>) - 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<Event>) - Method in class opennlp.tools.ml.model.OnePassDataIndexer
index(ObjectStream<Event>) - Method in class opennlp.tools.ml.model.TwoPassDataIndexer
init(P, Map<String, String>) - Method in class opennlp.tools.ml.AbstractTrainer
  Initializes a `AbstractTrainer` via `Parameters` and a `report map`.
init(P, Map<String, String>) - Method in class opennlp.tools.ml.model.AbstractDataIndexer
init(P, Map<String, String>, 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

MAX_ENTRIES_PROPERTY - Static variable in class opennlp.tools.ml.model.AbstractModelReader
  System property for overriding the maximum number of entries (outcomes, predicates, outcome patterns, chunk counts) that may be read from a model file or training data.
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<Event>) - 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<P>) - Method in class opennlp.tools.ml.AbstractEventTrainer
train(SequenceStream<Event>) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer
train(ObjectStream<Event>) - 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<String, Object>) - 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