Uses of Class
opennlp.tools.util.TrainingParameters
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Packages that use TrainingParameters Package Description opennlp.tools.chunker Package related to finding non-recursive syntactic annotation such as noun phrase chunks.opennlp.tools.commons Package related to common interfaces used in different contexts.opennlp.tools.doccat Package for classifying a document into a category.opennlp.tools.langdetect Package related to predicting languages from samples of text.opennlp.tools.lemmatizer Package related to the lemmatizer functionality.opennlp.tools.ml Package related to Machine Learning (ML) features of OpenNLP, the related ML models, and trainers.opennlp.tools.ml.maxent Package related to ML by means of the Maximum Entropy (ME) algorithm.opennlp.tools.ml.maxent.quasinewton Package related to ML by means of the Quasi Newton (QN) algorithm.opennlp.tools.ml.model Package related to ML models and feature selection techniques.opennlp.tools.ml.naivebayes Package related to ML by means of the Naive Bayes algorithm.opennlp.tools.ml.perceptron Package related to ML by means of the perceptron algorithm.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 sentence boundaries.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 -
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Uses of TrainingParameters in opennlp.tools.chunker
Methods in opennlp.tools.chunker with parameters of type TrainingParameters Modifier and Type Method Description static ChunkerModelChunkerME. train(String lang, ObjectStream<ChunkSample> in, TrainingParameters mlParams, ChunkerFactory factory)Starts a training of aChunkerModelwith the given parameters.Constructors in opennlp.tools.chunker with parameters of type TrainingParameters Constructor Description ChunkerCrossValidator(String languageCode, TrainingParameters params, ChunkerFactory factory, ChunkerEvaluationMonitor... listeners)Initializes aChunkerCrossValidatorinstance via given parameters. -
Uses of TrainingParameters in opennlp.tools.commons
Methods in opennlp.tools.commons with parameters of type TrainingParameters Modifier and Type Method Description voidTrainer. init(TrainingParameters trainParams, Map<String,String> reportMap) -
Uses of TrainingParameters in opennlp.tools.doccat
Methods in opennlp.tools.doccat with parameters of type TrainingParameters Modifier and Type Method Description static DoccatModelDocumentCategorizerME. train(String lang, ObjectStream<DocumentSample> samples, TrainingParameters mlParams, DoccatFactory factory)Starts a training of aDoccatModelwith the given parameters.Constructors in opennlp.tools.doccat with parameters of type TrainingParameters Constructor Description DoccatCrossValidator(String languageCode, TrainingParameters mlParams, DoccatFactory factory, DoccatEvaluationMonitor... listeners)Instantiates aDoccatCrossValidatorwith the givengenerators. -
Uses of TrainingParameters in opennlp.tools.langdetect
Methods in opennlp.tools.langdetect with parameters of type TrainingParameters Modifier and Type Method Description static LanguageDetectorModelLanguageDetectorME. train(ObjectStream<LanguageSample> samples, TrainingParameters mlParams, LanguageDetectorFactory factory)Starts a training of aLanguageDetectorModelwith the given parameters.Constructors in opennlp.tools.langdetect with parameters of type TrainingParameters Constructor Description LanguageDetectorCrossValidator(TrainingParameters mlParams, LanguageDetectorFactory factory, LanguageDetectorEvaluationMonitor... listeners)Initializes aLanguageDetectorCrossValidatorwith the givenparameters. -
Uses of TrainingParameters in opennlp.tools.lemmatizer
Methods in opennlp.tools.lemmatizer with parameters of type TrainingParameters Modifier and Type Method Description static LemmatizerModelLemmatizerME. train(String languageCode, ObjectStream<LemmaSample> samples, TrainingParameters params, LemmatizerFactory factory)Starts a training of aLemmatizerModelwith the given parameters. -
Uses of TrainingParameters in opennlp.tools.ml
Fields in opennlp.tools.ml declared as TrainingParameters Modifier and Type Field Description protected TrainingParametersAbstractTrainer. trainingParametersMethods in opennlp.tools.ml with parameters of type TrainingParameters Modifier and Type Method Description static <T> EventModelSequenceTrainer<T>TrainerFactory. getEventModelSequenceTrainer(TrainingParameters trainParams, Map<String,String> reportMap)Retrieves anEventModelSequenceTrainerthat fits the given parameters.static EventTrainerTrainerFactory. getEventTrainer(TrainingParameters trainParams, Map<String,String> reportMap)Retrieves anEventTrainerthat fits the given parameters.static SequenceTrainerTrainerFactory. getSequenceModelTrainer(TrainingParameters trainParams, Map<String,String> reportMap)Retrieves aSequenceTrainerthat fits the given parameters.static TrainerFactory.TrainerTypeTrainerFactory. getTrainerType(TrainingParameters trainParams)Determines theTrainerFactory.TrainerTypebased on theAbstractTrainer.ALGORITHM_PARAMvalue.voidAbstractTrainer. init(TrainingParameters trainParams, Map<String,String> reportMap)static booleanTrainerFactory. isValid(TrainingParameters trainParams)Constructors in opennlp.tools.ml with parameters of type TrainingParameters Constructor Description AbstractEventTrainer(TrainingParameters parameters)AbstractTrainer(TrainingParameters trainParams)Initializes aAbstractTrainerviaTrainingParameters. -
Uses of TrainingParameters in opennlp.tools.ml.maxent
Methods in opennlp.tools.ml.maxent with parameters of type TrainingParameters Modifier and Type Method Description voidGISTrainer. init(TrainingParameters trainingParameters, Map<String,String> reportMap) -
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 Description voidQNTrainer. init(TrainingParameters trainingParameters, Map<String,String> reportMap)Constructors in opennlp.tools.ml.maxent.quasinewton with parameters of type TrainingParameters Constructor Description QNTrainer(TrainingParameters parameters)Initializes aQNTrainer. -
Uses of TrainingParameters in opennlp.tools.ml.model
Fields in opennlp.tools.ml.model declared as TrainingParameters Modifier and Type Field Description protected TrainingParametersAbstractDataIndexer. trainingParametersMethods in opennlp.tools.ml.model with parameters of type TrainingParameters Modifier and Type Method Description static DataIndexerDataIndexerFactory. getDataIndexer(TrainingParameters parameters, Map<String,String> reportMap)Instantiates aDataIndexerconfigured viaTrainingParameters.voidAbstractDataIndexer. init(TrainingParameters indexingParameters, Map<String,String> reportMap)Sets parameters used during the data indexing.voidDataIndexer. init(TrainingParameters trainParams, Map<String,String> reportMap)Sets parameters used during the data indexing. -
Uses of TrainingParameters in opennlp.tools.ml.naivebayes
Constructors in opennlp.tools.ml.naivebayes with parameters of type TrainingParameters Constructor Description NaiveBayesTrainer(TrainingParameters parameters)Instantiates aNaiveBayesTrainerwith specificTrainingParameters. -
Uses of TrainingParameters in opennlp.tools.ml.perceptron
Constructors in opennlp.tools.ml.perceptron with parameters of type TrainingParameters Constructor Description PerceptronTrainer(TrainingParameters parameters)Instantiates aPerceptronTrainerwith specificTrainingParameters. -
Uses of TrainingParameters in opennlp.tools.namefind
Methods in opennlp.tools.namefind with parameters of type TrainingParameters Modifier and Type Method Description static TokenNameFinderModelNameFinderME. train(String languageCode, String type, ObjectStream<NameSample> samples, TrainingParameters params, TokenNameFinderFactory factory)Starts a training of aTokenNameFinderModelwith the given parameters.Constructors in opennlp.tools.namefind with parameters of type TrainingParameters Constructor Description TokenNameFinderCrossValidator(String languageCode, String type, TrainingParameters trainParams, byte[] featureGeneratorBytes, Map<String,Object> resources, TokenNameFinderEvaluationMonitor... listeners)Initializes aTokenNameFinderCrossValidatorwith the given parameters.TokenNameFinderCrossValidator(String languageCode, String type, TrainingParameters params, byte[] featureGeneratorBytes, Map<String,Object> resources, SequenceCodec<String> codec, TokenNameFinderEvaluationMonitor... listeners)Initializes aTokenNameFinderCrossValidatorwith the given parameters.TokenNameFinderCrossValidator(String languageCode, String type, TrainingParameters params, TokenNameFinderFactory factory, TokenNameFinderEvaluationMonitor... listeners)Initializes aTokenNameFinderCrossValidatorwith the given parameters. -
Uses of TrainingParameters in opennlp.tools.parser
Methods in opennlp.tools.parser with parameters of type TrainingParameters Modifier and Type Method Description static DictionaryAbstractBottomUpParser. buildDictionary(ObjectStream<Parse> data, HeadRules rules, TrainingParameters params)Creates a n-gramDictionaryfrom the specified data stream using the specified head rule and specified cut-off.Constructors in opennlp.tools.parser with parameters of type TrainingParameters Constructor Description ParserCrossValidator(String languageCode, TrainingParameters params, HeadRules rules, ParserType parserType, ParserEvaluationMonitor... monitors)Initializes aParserCrossValidatorinstance via given parameters. -
Uses of TrainingParameters in opennlp.tools.parser.chunking
Methods in opennlp.tools.parser.chunking with parameters of type TrainingParameters Modifier and Type Method Description static ParserModelParser. train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams)Starts a training of aParserModel. -
Uses of TrainingParameters in opennlp.tools.parser.treeinsert
Methods in opennlp.tools.parser.treeinsert with parameters of type TrainingParameters Modifier and Type Method Description static ParserModelParser. train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams)Starts a training of aParserModel. -
Uses of TrainingParameters in opennlp.tools.postag
Methods in opennlp.tools.postag with parameters of type TrainingParameters Modifier and Type Method Description static POSModelPOSTaggerME. train(String languageCode, ObjectStream<POSSample> samples, TrainingParameters trainParams, POSTaggerFactory posFactory)Constructors in opennlp.tools.postag with parameters of type TrainingParameters Constructor Description POSTaggerCrossValidator(String languageCode, TrainingParameters trainParam, File tagDictionary, byte[] featureGeneratorBytes, Map<String,Object> resources, Integer tagdicCutoff, String factoryClass, POSTaggerEvaluationMonitor... listeners)Initializes aPOSTaggerCrossValidatorthat builds a ngram dictionary dynamically.POSTaggerCrossValidator(String languageCode, TrainingParameters trainParam, POSTaggerFactory factory, POSTaggerEvaluationMonitor... listeners)Creates aPOSTaggerCrossValidatorusing the givenPOSTaggerFactory. -
Uses of TrainingParameters in opennlp.tools.sentdetect
Methods in opennlp.tools.sentdetect with parameters of type TrainingParameters Modifier and Type Method Description static SentenceModelSentenceDetectorME. train(String languageCode, ObjectStream<SentenceSample> samples, boolean useTokenEnd, Dictionary abbreviations, TrainingParameters mlParams)Deprecated.static SentenceModelSentenceDetectorME. train(String languageCode, ObjectStream<SentenceSample> samples, SentenceDetectorFactory sdFactory, TrainingParameters mlParams)Constructors in opennlp.tools.sentdetect with parameters of type TrainingParameters Constructor Description 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 Description static TokenizerModelTokenizerME. train(ObjectStream<TokenSample> samples, TokenizerFactory factory, TrainingParameters mlParams)Trains a model for theTokenizerME.Constructors in opennlp.tools.tokenize with parameters of type TrainingParameters Constructor Description TokenizerCrossValidator(TrainingParameters params, TokenizerFactory factory, TokenizerEvaluationMonitor... listeners)Creates aTokenizerCrossValidatorusing the givenTokenizerFactory. -
Uses of TrainingParameters in opennlp.tools.util
Methods in opennlp.tools.util that return TrainingParameters Modifier and Type Method Description static TrainingParametersTrainingParameters. defaultParams()TrainingParametersTrainingParameters. getParameters(String namespace)static TrainingParametersTrainingParameters. setParams(String[] params)Constructors in opennlp.tools.util with parameters of type TrainingParameters Constructor Description TrainingParameters(TrainingParameters trainingParameters)Copy constructor to hand over the config of existingTrainingParameters. -
Uses of TrainingParameters in opennlp.tools.util.model
Methods in opennlp.tools.util.model that return TrainingParameters Modifier and Type Method Description static TrainingParametersModelUtil. createDefaultTrainingParameters()Creates the defaultTrainingParametersin case they are not provided.
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