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.doccat Package for classifying a document into a category.opennlp.tools.langdetect opennlp.tools.lemmatizer Package related with the lemmatizer toolopennlp.tools.ml opennlp.tools.ml.maxent Provides main functionality of the maxent package including data structures and algorithms for parameter estimation.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 -
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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)Constructors in opennlp.tools.chunker with parameters of type TrainingParameters Constructor 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 Description static DoccatModelDocumentCategorizerME. train(String languageCode, ObjectStream<DocumentSample> samples, TrainingParameters mlParams, DoccatFactory factory)Constructors in opennlp.tools.doccat with parameters of type TrainingParameters Constructor Description DoccatCrossValidator(String languageCode, TrainingParameters mlParams, DoccatFactory factory, DoccatEvaluationMonitor... listeners)Creates aDoccatCrossValidatorwith the givenFeatureGenerators. -
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)Constructors in opennlp.tools.langdetect with parameters of type TrainingParameters Constructor Description LanguageDetectorCrossValidator(TrainingParameters mlParams, LanguageDetectorFactory factory, LanguageDetectorEvaluationMonitor... listeners)Creates aLanguageDetectorCrossValidatorwith the givenFeatureGenerators. -
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 trainParams, LemmatizerFactory posFactory) -
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 EventModelSequenceTrainerTrainerFactory. getEventModelSequenceTrainer(TrainingParameters trainParams, Map<String,String> reportMap)static EventTrainerTrainerFactory. getEventTrainer(TrainingParameters trainParams, Map<String,String> reportMap)static SequenceTrainerTrainerFactory. getSequenceModelTrainer(TrainingParameters trainParams, Map<String,String> reportMap)static TrainerFactory.TrainerTypeTrainerFactory. getTrainerType(TrainingParameters trainParams)Determines the trainer type based on the ALGORITHM_PARAM value.voidAbstractTrainer. init(TrainingParameters trainingParameters, Map<String,String> reportMap)voidEventModelSequenceTrainer. init(TrainingParameters trainParams, Map<String,String> reportMap)voidEventTrainer. init(TrainingParameters trainingParams, Map<String,String> reportMap)voidSequenceTrainer. 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 parameters) -
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) -
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)voidAbstractDataIndexer. init(TrainingParameters indexingParameters, Map<String,String> reportMap)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) -
Uses of TrainingParameters in opennlp.tools.ml.perceptron
Constructors in opennlp.tools.ml.perceptron with parameters of type TrainingParameters Constructor 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 Description static TokenNameFinderModelNameFinderME. train(String languageCode, String type, ObjectStream<NameSample> samples, TrainingParameters trainParams, TokenNameFinderFactory factory)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)TokenNameFinderCrossValidator(String languageCode, String type, TrainingParameters trainParams, byte[] featureGeneratorBytes, Map<String,Object> resources, SequenceCodec<String> codec, TokenNameFinderEvaluationMonitor... listeners)Name finder cross validatorTokenNameFinderCrossValidator(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 Description static DictionaryAbstractBottomUpParser. 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 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 Description static ParserModelParser. 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 Description static ParserModelParser. 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 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)Creates 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)SDCrossValidator(String languageCode, TrainingParameters params, SentenceDetectorEvaluationMonitor... listeners)Deprecated.useSDCrossValidator(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 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) -
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)Constructors in opennlp.tools.util with parameters of type TrainingParameters Constructor 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 Description static TrainingParametersModelUtil. createDefaultTrainingParameters()Creates the default training parameters in case they are not provided.
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