Uses of Class
opennlp.tools.util.TrainingParameters

Packages that use TrainingParameters

Package	Description
opennlp.tools.chunker	Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
opennlp.tools.doccat	Package for classifying a document into a category.
opennlp.tools.lemmatizer	Package related with the lemmatizer tool
opennlp.tools.ml
opennlp.tools.ml.maxent.quasinewton
opennlp.tools.ml.model
opennlp.tools.ml.naivebayes
opennlp.tools.ml.perceptron
opennlp.tools.namefind	Package related to finding proper names and numeric amounts.
opennlp.tools.parser	Package containing common code for performing full syntactic parsing.
opennlp.tools.parser.chunking	Package containing code for performing full syntactic parsing using shift/reduce-style decisions.
opennlp.tools.parser.treeinsert	Package containing experimental code for performing full syntactic parsing using attachment decisions.
opennlp.tools.postag	Package related to part-of-speech tagging.
opennlp.tools.sentdetect	Package related to identifying sentece boundries.
opennlp.tools.tokenize	Contains classes related to finding token or words in a string.
opennlp.tools.util	Package containing utility data structures and algorithms used by multiple other packages.
opennlp.tools.util.model

Uses of TrainingParameters in opennlp.tools.chunker

Methods in opennlp.tools.chunker with parameters of type TrainingParameters

Modifier and Type	Method and Description
static ChunkerModel	ChunkerME.train(String lang, ObjectStream<ChunkSample> in, TrainingParameters mlParams, ChunkerFactory factory)

Constructors in opennlp.tools.chunker with parameters of type TrainingParameters

Constructor and Description
ChunkerCrossValidator(String languageCode, TrainingParameters params, ChunkerFactory factory, ChunkerEvaluationMonitor... listeners)

Uses of TrainingParameters in opennlp.tools.doccat

Methods in opennlp.tools.doccat with parameters of type TrainingParameters

Modifier and Type	Method and Description
static DoccatModel	DocumentCategorizerME.train(String languageCode, ObjectStream<DocumentSample> samples, TrainingParameters mlParams, DoccatFactory factory)

Constructors in opennlp.tools.doccat with parameters of type TrainingParameters

Constructor and Description
DoccatCrossValidator(String languageCode, TrainingParameters mlParams, DoccatFactory factory, DoccatEvaluationMonitor... listeners) Creates a DoccatCrossValidator with the given FeatureGenerators.

Uses of TrainingParameters in opennlp.tools.lemmatizer

Methods in opennlp.tools.lemmatizer with parameters of type TrainingParameters

Modifier and Type	Method and Description
static LemmatizerModel	LemmatizerME.train(String languageCode, ObjectStream<LemmaSample> samples, TrainingParameters trainParams, LemmatizerFactory posFactory)

Uses of TrainingParameters in opennlp.tools.ml

Fields in opennlp.tools.ml declared as TrainingParameters

Modifier and Type	Field and Description
protected TrainingParameters	AbstractTrainer.trainingParameters

Methods in opennlp.tools.ml with parameters of type TrainingParameters

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

Constructors in opennlp.tools.ml with parameters of type TrainingParameters

Constructor and Description
AbstractEventTrainer(TrainingParameters parameters)
AbstractTrainer(TrainingParameters parameters)

Uses of TrainingParameters in opennlp.tools.ml.maxent.quasinewton

Methods in opennlp.tools.ml.maxent.quasinewton with parameters of type TrainingParameters

Modifier and Type	Method and Description
void	QNTrainer.init(TrainingParameters trainingParameters, Map<String,String> reportMap)

Constructors in opennlp.tools.ml.maxent.quasinewton with parameters of type TrainingParameters

Constructor and Description
QNTrainer(TrainingParameters parameters)

Uses of TrainingParameters in opennlp.tools.ml.model

Fields in opennlp.tools.ml.model declared as TrainingParameters

Modifier and Type	Field and Description
protected TrainingParameters	AbstractDataIndexer.trainingParameters

Methods in opennlp.tools.ml.model with parameters of type TrainingParameters

Modifier and Type	Method and Description
static DataIndexer	DataIndexerFactory.getDataIndexer(TrainingParameters parameters, Map<String,String> reportMap)
void	DataIndexer.init(TrainingParameters trainParams, Map<String,String> reportMap) Sets parameters used during the data indexing.
void	AbstractDataIndexer.init(TrainingParameters indexingParameters, Map<String,String> reportMap)

Uses of TrainingParameters in opennlp.tools.ml.naivebayes

Constructors in opennlp.tools.ml.naivebayes with parameters of type TrainingParameters

Constructor and Description
NaiveBayesTrainer(TrainingParameters parameters)

Uses of TrainingParameters in opennlp.tools.ml.perceptron

Constructors in opennlp.tools.ml.perceptron with parameters of type TrainingParameters

Constructor and Description
PerceptronTrainer(TrainingParameters parameters)

Uses of TrainingParameters in opennlp.tools.namefind

Methods in opennlp.tools.namefind with parameters of type TrainingParameters

Modifier and Type	Method and Description
static TokenNameFinderModel	NameFinderME.train(String languageCode, String type, ObjectStream<NameSample> samples, TrainingParameters trainParams, TokenNameFinderFactory factory)

Constructors in opennlp.tools.namefind with parameters of type TrainingParameters

Constructor and Description
TokenNameFinderCrossValidator(String languageCode, String type, TrainingParameters trainParams, byte[] featureGeneratorBytes, Map<String,Object> resources, SequenceCodec<String> codec, TokenNameFinderEvaluationMonitor... listeners) Name finder cross validator
TokenNameFinderCrossValidator(String languageCode, String type, TrainingParameters trainParams, byte[] featureGeneratorBytes, Map<String,Object> resources, TokenNameFinderEvaluationMonitor... listeners)
TokenNameFinderCrossValidator(String languageCode, String type, TrainingParameters trainParams, TokenNameFinderFactory factory, TokenNameFinderEvaluationMonitor... listeners)

Uses of TrainingParameters in opennlp.tools.parser

Methods in opennlp.tools.parser with parameters of type TrainingParameters

Modifier and Type	Method and Description
static Dictionary	AbstractBottomUpParser.buildDictionary(ObjectStream<Parse> data, HeadRules rules, TrainingParameters params) Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off.

Constructors in opennlp.tools.parser with parameters of type TrainingParameters

Constructor and Description
ParserCrossValidator(String languageCode, TrainingParameters params, HeadRules rules, ParserType parserType, ParserEvaluationMonitor... monitors)

Uses of TrainingParameters in opennlp.tools.parser.chunking

Methods in opennlp.tools.parser.chunking with parameters of type TrainingParameters

Modifier and Type	Method and Description
static ParserModel	Parser.train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams)

Uses of TrainingParameters in opennlp.tools.parser.treeinsert

Methods in opennlp.tools.parser.treeinsert with parameters of type TrainingParameters

Modifier and Type	Method and Description
static ParserModel	Parser.train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams)

Uses of TrainingParameters in opennlp.tools.postag

Methods in opennlp.tools.postag with parameters of type TrainingParameters

Modifier and Type	Method and Description
static POSModel	POSTaggerME.train(String languageCode, ObjectStream<POSSample> samples, TrainingParameters trainParams, POSTaggerFactory posFactory)

Constructors in opennlp.tools.postag with parameters of type TrainingParameters

Constructor and Description
POSTaggerCrossValidator(String languageCode, TrainingParameters trainParam, File tagDictionary, byte[] featureGeneratorBytes, Map<String,Object> resources, Integer tagdicCutoff, String factoryClass, POSTaggerEvaluationMonitor... listeners) Creates a POSTaggerCrossValidator that builds a ngram dictionary dynamically.
POSTaggerCrossValidator(String languageCode, TrainingParameters trainParam, POSTaggerFactory factory, POSTaggerEvaluationMonitor... listeners) Creates a POSTaggerCrossValidator using the given POSTaggerFactory.

Uses of TrainingParameters in opennlp.tools.sentdetect

Methods in opennlp.tools.sentdetect with parameters of type TrainingParameters

Modifier and Type	Method and Description
static SentenceModel	SentenceDetectorME.train(String languageCode, ObjectStream<SentenceSample> samples, boolean useTokenEnd, Dictionary abbreviations, TrainingParameters mlParams) Deprecated. Use SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters) and pass in af SentenceDetectorFactory.
static SentenceModel	SentenceDetectorME.train(String languageCode, ObjectStream<SentenceSample> samples, SentenceDetectorFactory sdFactory, TrainingParameters mlParams)

Constructors in opennlp.tools.sentdetect with parameters of type TrainingParameters

Constructor and Description
SDCrossValidator(String languageCode, TrainingParameters params) Deprecated. Use SDCrossValidator.SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) and pass in a SentenceDetectorFactory.
SDCrossValidator(String languageCode, TrainingParameters params, SentenceDetectorEvaluationMonitor... listeners) Deprecated. use SDCrossValidator.SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) instead and pass in a TrainingParameters object.
SDCrossValidator(String languageCode, TrainingParameters params, SentenceDetectorFactory sdFactory, SentenceDetectorEvaluationMonitor... listeners)

Uses of TrainingParameters in opennlp.tools.tokenize

Methods in opennlp.tools.tokenize with parameters of type TrainingParameters

Modifier and Type	Method and Description
static TokenizerModel	TokenizerME.train(ObjectStream<TokenSample> samples, TokenizerFactory factory, TrainingParameters mlParams) Trains a model for the TokenizerME.

Constructors in opennlp.tools.tokenize with parameters of type TrainingParameters

Constructor and Description
TokenizerCrossValidator(TrainingParameters params, TokenizerFactory factory, TokenizerEvaluationMonitor... listeners)

Uses of TrainingParameters in opennlp.tools.util

Methods in opennlp.tools.util that return TrainingParameters

Modifier and Type	Method and Description
static TrainingParameters	TrainingParameters.defaultParams()
TrainingParameters	TrainingParameters.getParameters(String namespace)

Constructors in opennlp.tools.util with parameters of type TrainingParameters

Constructor and Description
TrainingParameters(TrainingParameters trainingParameters)

Uses of TrainingParameters in opennlp.tools.util.model

Methods in opennlp.tools.util.model that return TrainingParameters

Modifier and Type	Method and Description
static TrainingParameters	ModelUtil.createDefaultTrainingParameters() Creates the default training parameters in case they are not provided.