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 ChunkerModel
ChunkerME. 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)
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Uses of TrainingParameters in opennlp.tools.doccat
Methods in opennlp.tools.doccat with parameters of type TrainingParameters Modifier and Type Method 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 Description DoccatCrossValidator(String languageCode, TrainingParameters mlParams, DoccatFactory factory, DoccatEvaluationMonitor... listeners)
Creates aDoccatCrossValidator
with the givenFeatureGenerator
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Uses of TrainingParameters in opennlp.tools.langdetect
Methods in opennlp.tools.langdetect with parameters of type TrainingParameters Modifier and Type Method Description static LanguageDetectorModel
LanguageDetectorME. 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 aLanguageDetectorCrossValidator
with the givenFeatureGenerator
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Uses of TrainingParameters in opennlp.tools.lemmatizer
Methods in opennlp.tools.lemmatizer with parameters of type TrainingParameters Modifier and Type Method Description static LemmatizerModel
LemmatizerME. train(String languageCode, ObjectStream<LemmaSample> samples, TrainingParameters trainParams, LemmatizerFactory posFactory)
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Uses of TrainingParameters in opennlp.tools.ml
Fields in opennlp.tools.ml declared as TrainingParameters Modifier and Type Field Description protected TrainingParameters
AbstractTrainer. trainingParameters
Methods in opennlp.tools.ml with parameters of type TrainingParameters Modifier and Type Method 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
AbstractTrainer. init(TrainingParameters trainingParameters, Map<String,String> reportMap)
void
EventModelSequenceTrainer. init(TrainingParameters trainParams, Map<String,String> reportMap)
void
EventTrainer. init(TrainingParameters trainingParams, Map<String,String> reportMap)
void
SequenceTrainer. init(TrainingParameters trainParams, Map<String,String> reportMap)
static boolean
TrainerFactory. isValid(TrainingParameters trainParams)
Constructors in opennlp.tools.ml with parameters of type TrainingParameters Constructor Description AbstractEventTrainer(TrainingParameters parameters)
AbstractTrainer(TrainingParameters parameters)
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Uses of TrainingParameters in opennlp.tools.ml.maxent
Methods in opennlp.tools.ml.maxent with parameters of type TrainingParameters Modifier and Type Method Description void
GISTrainer. init(TrainingParameters trainingParameters, Map<String,String> reportMap)
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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 void
QNTrainer. init(TrainingParameters trainingParameters, Map<String,String> reportMap)
Constructors in opennlp.tools.ml.maxent.quasinewton with parameters of type TrainingParameters Constructor Description QNTrainer(TrainingParameters parameters)
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Uses of TrainingParameters in opennlp.tools.ml.model
Fields in opennlp.tools.ml.model declared as TrainingParameters Modifier and Type Field Description protected TrainingParameters
AbstractDataIndexer. trainingParameters
Methods in opennlp.tools.ml.model with parameters of type TrainingParameters Modifier and Type Method Description static DataIndexer
DataIndexerFactory. getDataIndexer(TrainingParameters parameters, Map<String,String> reportMap)
void
AbstractDataIndexer. init(TrainingParameters indexingParameters, Map<String,String> reportMap)
void
DataIndexer. 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)
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Uses of TrainingParameters in opennlp.tools.ml.perceptron
Constructors in opennlp.tools.ml.perceptron with parameters of type TrainingParameters Constructor Description PerceptronTrainer(TrainingParameters parameters)
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Uses of TrainingParameters in opennlp.tools.namefind
Methods in opennlp.tools.namefind with parameters of type TrainingParameters Modifier and Type Method 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 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)
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Uses of TrainingParameters in opennlp.tools.parser
Methods in opennlp.tools.parser with parameters of type TrainingParameters Modifier and Type Method 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 Description ParserCrossValidator(String languageCode, TrainingParameters params, HeadRules rules, ParserType parserType, ParserEvaluationMonitor... monitors)
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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 ParserModel
Parser. train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams)
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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 ParserModel
Parser. train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams)
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Uses of TrainingParameters in opennlp.tools.postag
Methods in opennlp.tools.postag with parameters of type TrainingParameters Modifier and Type Method 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 Description POSTaggerCrossValidator(String languageCode, TrainingParameters trainParam, File tagDictionary, byte[] featureGeneratorBytes, Map<String,Object> resources, Integer tagdicCutoff, String factoryClass, POSTaggerEvaluationMonitor... listeners)
Creates aPOSTaggerCrossValidator
that builds a ngram dictionary dynamically.POSTaggerCrossValidator(String languageCode, TrainingParameters trainParam, POSTaggerFactory factory, POSTaggerEvaluationMonitor... listeners)
Creates aPOSTaggerCrossValidator
using the givenPOSTaggerFactory
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Uses of TrainingParameters in opennlp.tools.sentdetect
Methods in opennlp.tools.sentdetect with parameters of type TrainingParameters Modifier and Type Method Description static SentenceModel
SentenceDetectorME. train(String languageCode, ObjectStream<SentenceSample> samples, boolean useTokenEnd, Dictionary abbreviations, TrainingParameters mlParams)
Deprecated.static SentenceModel
SentenceDetectorME. 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)
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Uses of TrainingParameters in opennlp.tools.tokenize
Methods in opennlp.tools.tokenize with parameters of type TrainingParameters Modifier and Type Method Description static TokenizerModel
TokenizerME. 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)
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Uses of TrainingParameters in opennlp.tools.util
Methods in opennlp.tools.util that return TrainingParameters Modifier and Type Method Description static TrainingParameters
TrainingParameters. defaultParams()
TrainingParameters
TrainingParameters. getParameters(String namespace)
Constructors in opennlp.tools.util with parameters of type TrainingParameters Constructor Description TrainingParameters(TrainingParameters trainingParameters)
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Uses of TrainingParameters in opennlp.tools.util.model
Methods in opennlp.tools.util.model that return TrainingParameters Modifier and Type Method Description static TrainingParameters
ModelUtil. createDefaultTrainingParameters()
Creates the default training parameters in case they are not provided.
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