Package opennlp.tools.ml

Class AbstractEventTrainer

java.lang.Object

opennlp.tools.ml.AbstractTrainer

opennlp.tools.ml.AbstractEventTrainer

All Implemented Interfaces:

Trainer, EventTrainer

Direct Known Subclasses:

GISTrainer, NaiveBayesTrainer, PerceptronTrainer, QNTrainer

public abstract class AbstractEventTrainer
extends AbstractTrainer
implements EventTrainer

A basic EventTrainer implementation.

Field Summary

Fields

Modifier and Type	Field	Description
static final String	DATA_INDEXER_ONE_PASS_REAL_VALUE
static final String	DATA_INDEXER_ONE_PASS_VALUE
static final String	DATA_INDEXER_PARAM
static final String	DATA_INDEXER_TWO_PASS_VALUE

Fields inherited from class opennlp.tools.ml.AbstractTrainer

ALGORITHM_PARAM, CUTOFF_DEFAULT, CUTOFF_PARAM, ITERATIONS_DEFAULT, ITERATIONS_PARAM, TRAINER_TYPE_PARAM

Fields inherited from interface opennlp.tools.ml.EventTrainer

EVENT_VALUE

Constructor Summary

Constructors

Constructor	Description
AbstractEventTrainer()
AbstractEventTrainer(TrainingParameters parameters)

Method Summary

Modifier and Type	Method	Description
abstract MaxentModel	doTrain(DataIndexer indexer)
DataIndexer	getDataIndexer(ObjectStream<Event> events)
abstract boolean	isSortAndMerge()
final MaxentModel	train(DataIndexer indexer)	Trains a MaxentModel for given events.
final MaxentModel	train(ObjectStream<Event> events)	Trains a MaxentModel for given events.
void	validate()	Checks the configured parameters.

Methods inherited from class opennlp.tools.ml.AbstractTrainer

getAlgorithm, getCutoff, getIterations, init

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface opennlp.tools.commons.Trainer

init

Field Details

DATA_INDEXER_PARAM

public static final String DATA_INDEXER_PARAM

See Also:

• Constant Field Values

DATA_INDEXER_ONE_PASS_VALUE

public static final String DATA_INDEXER_ONE_PASS_VALUE

See Also:

• Constant Field Values

DATA_INDEXER_TWO_PASS_VALUE

public static final String DATA_INDEXER_TWO_PASS_VALUE

See Also:

• Constant Field Values

DATA_INDEXER_ONE_PASS_REAL_VALUE

public static final String DATA_INDEXER_ONE_PASS_REAL_VALUE

See Also:

• Constant Field Values

Constructor Details

AbstractEventTrainer

public AbstractEventTrainer()

AbstractEventTrainer

public AbstractEventTrainer(TrainingParameters parameters)

Method Details

validate

public void validate()

Description copied from class: AbstractTrainer

Checks the configured parameters. If a subclass overrides this, it should call super.validate();.

Overrides:

validate in class AbstractTrainer

isSortAndMerge

public abstract boolean isSortAndMerge()

getDataIndexer

public DataIndexer getDataIndexer(ObjectStream<Event> events)
                           throws IOException

Throws:

IOException

doTrain

public abstract MaxentModel doTrain(DataIndexer indexer)
                             throws IOException

Throws:

IOException

train

public final MaxentModel train(DataIndexer indexer)
                        throws IOException

Description copied from interface: EventTrainer

Trains a MaxentModel for given events.

Specified by:

train in interface EventTrainer

Parameters:

indexer - The input indexer to use.

Returns:

The trained MaxentModel.

Throws:

IOException - Thrown if IO errors occurred.

train

public final MaxentModel train(ObjectStream<Event> events)
                        throws IOException

Description copied from interface: EventTrainer

Trains a MaxentModel for given events.

Specified by:

train in interface EventTrainer

Parameters:

events - The input events.

Returns:

The trained MaxentModel.

Throws:

IOException - Thrown if IO errors occurred.