Class AbstractEventTrainer<P extends opennlp.tools.util.Parameters>

java.lang.Object

opennlp.tools.ml.AbstractTrainer<P>

opennlp.tools.ml.AbstractEventTrainer<P>

All Implemented Interfaces:

opennlp.tools.commons.Trainer<P>, opennlp.tools.ml.EventTrainer<P>

public abstract class AbstractEventTrainer<P extends opennlp.tools.util.Parameters>
extends AbstractTrainer<P>
implements opennlp.tools.ml.EventTrainer<P>

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 interface opennlp.tools.ml.EventTrainer

EVENT_VALUE

Constructor Summary

Constructors

Constructor	Description
AbstractEventTrainer()
AbstractEventTrainer(P parameters)

Method Summary

Modifier and Type	Method	Description
abstract opennlp.tools.ml.model.MaxentModel	doTrain(opennlp.tools.ml.model.DataIndexer<P> indexer)
opennlp.tools.ml.model.DataIndexer<P>	getDataIndexer(opennlp.tools.util.ObjectStream<opennlp.tools.ml.model.Event> events)
abstract boolean	isSortAndMerge()
final opennlp.tools.ml.model.MaxentModel	train(opennlp.tools.ml.model.DataIndexer<P> indexer)
final opennlp.tools.ml.model.MaxentModel	train(opennlp.tools.util.ObjectStream<opennlp.tools.ml.model.Event> events)
void	validate()	Checks the configured parameters.

Methods inherited from class AbstractTrainer

getAlgorithm, getCutoff, getIterations, getTrainingConfiguration, init, init

Methods inherited from class Object

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

Methods inherited from interface opennlp.tools.commons.Trainer

init, 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(P 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<P extends opennlp.tools.util.Parameters>

isSortAndMerge

public abstract boolean isSortAndMerge()

getDataIndexer

public opennlp.tools.ml.model.DataIndexer<P> getDataIndexer(opennlp.tools.util.ObjectStream<opennlp.tools.ml.model.Event> events)
                                                     throws IOException

Throws:

IOException

doTrain

public abstract opennlp.tools.ml.model.MaxentModel doTrain(opennlp.tools.ml.model.DataIndexer<P> indexer)
                                                    throws IOException

Throws:

IOException

train

public final opennlp.tools.ml.model.MaxentModel train(opennlp.tools.ml.model.DataIndexer<P> indexer)
                                               throws IOException

Specified by:

train in interface opennlp.tools.ml.EventTrainer<P extends opennlp.tools.util.Parameters>

Throws:

IOException

train

public final opennlp.tools.ml.model.MaxentModel train(opennlp.tools.util.ObjectStream<opennlp.tools.ml.model.Event> events)
                                               throws IOException

Specified by:

train in interface opennlp.tools.ml.EventTrainer<P extends opennlp.tools.util.Parameters>

Throws:

IOException