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

T

TIntParamHashMap - Class in opennlp.maxent

Data structure for storing a models parameters for each outcome associated with a specific context.

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

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

TIntParamHashMap(int, float) - Constructor for class opennlp.maxent.TIntParamHashMap

TObjectIndexHashMap - Class in opennlp.maxent

Data structure storing the mapping between a context and its integer value.

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

TObjectIndexHashMap(TObjectHashingStrategy) - Constructor for class opennlp.maxent.TObjectIndexHashMap

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

TObjectIndexHashMap(int, float) - Constructor for class opennlp.maxent.TObjectIndexHashMap

TObjectIndexHashMap(int, float, TObjectHashingStrategy) - Constructor for class opennlp.maxent.TObjectIndexHashMap

TObjectIndexHashMap(int, TObjectHashingStrategy) - Constructor for class opennlp.maxent.TObjectIndexHashMap

toIndexedStringArray(TObjectIntHashMap) - Static method in class opennlp.maxent.AbstractDataIndexer

Utility method for creating a String[] array from a map whose keys are labels (Strings) to be stored in the array and whose values are the indices (Integers) at which the corresponding labels should be inserted.

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

Generates a string representing the specified event.

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

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

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

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

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(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.

TwoPassDataIndexer - Class in opennlp.maxent

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

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

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

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

Two argument constructor for DataIndexer.