Package opennlp.tools.ml

Class TrainerFactory

java.lang.Object

opennlp.tools.ml.TrainerFactory

public class TrainerFactory
extends Object

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	TrainerFactory.TrainerType

Constructor Summary

Constructors

Constructor	Description
TrainerFactory()

Method Summary

Modifier and Type	Method	Description
static EventModelSequenceTrainer	getEventModelSequenceTrainer(TrainingParameters trainParams, Map<String,String> reportMap)
static EventTrainer	getEventTrainer(TrainingParameters trainParams, Map<String,String> reportMap)
static SequenceTrainer	getSequenceModelTrainer(TrainingParameters trainParams, Map<String,String> reportMap)
static TrainerFactory.TrainerType	getTrainerType(TrainingParameters trainParams)	Determines the trainer type based on the ALGORITHM_PARAM value.
static boolean	isValid(TrainingParameters trainParams)

Methods inherited from class java.lang.Object

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

Constructor Detail

TrainerFactory

public TrainerFactory()

Method Detail

getTrainerType

public static TrainerFactory.TrainerType getTrainerType(TrainingParameters trainParams)

Determines the trainer type based on the ALGORITHM_PARAM value.

Parameters:

trainParams - - Map of training parameters

Returns:

the trainer type or null if type couldn't be determined.

getSequenceModelTrainer

public static SequenceTrainer getSequenceModelTrainer(TrainingParameters trainParams,
                                                      Map<String,String> reportMap)

getEventModelSequenceTrainer

public static EventModelSequenceTrainer getEventModelSequenceTrainer(TrainingParameters trainParams,
                                                                     Map<String,String> reportMap)

getEventTrainer

public static EventTrainer getEventTrainer(TrainingParameters trainParams,
                                           Map<String,String> reportMap)

isValid

public static boolean isValid(TrainingParameters trainParams)