Uses of Class
opennlp.tools.util.TrainingParameters

Packages that use TrainingParameters
opennlp.tools.chunker Package related to finding non-recursive syntactic annotation such as noun phrase chunks. 
opennlp.tools.cmdline   
opennlp.tools.cmdline.tokenizer   
opennlp.tools.doccat Package for classifying a document into a category. 
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
static ChunkerModel ChunkerME.train(String lang, ObjectStream<ChunkSample> in, ChunkerContextGenerator contextGenerator, TrainingParameters mlParams)
           
 

Constructors in opennlp.tools.chunker with parameters of type TrainingParameters
ChunkerCrossValidator(String languageCode, TrainingParameters params, ChunkerEvaluationMonitor... listeners)
           
 

Uses of TrainingParameters in opennlp.tools.cmdline
 

Methods in opennlp.tools.cmdline that return TrainingParameters
static TrainingParameters CmdLineUtil.loadTrainingParameters(String paramFile, boolean supportSequenceTraining)
           
 

Uses of TrainingParameters in opennlp.tools.cmdline.tokenizer
 

Methods in opennlp.tools.cmdline.tokenizer that return TrainingParameters
static TrainingParameters TokenizerTrainerTool.createTrainingParameters(Integer iterations, Integer cutoff)
           
 

Uses of TrainingParameters in opennlp.tools.doccat
 

Methods in opennlp.tools.doccat with parameters of type TrainingParameters
static DoccatModel DocumentCategorizerME.train(String languageCode, ObjectStream<DocumentSample> samples, TrainingParameters mlParams, FeatureGenerator... featureGenerators)
           
 

Uses of TrainingParameters in opennlp.tools.namefind
 

Methods in opennlp.tools.namefind with parameters of type TrainingParameters
static TokenNameFinderModel NameFinderME.train(String languageCode, String type, ObjectStream<NameSample> samples, TrainingParameters trainParams, AdaptiveFeatureGenerator generator, Map<String,Object> resources)
          Trains a name finder model.
static TokenNameFinderModel NameFinderME.train(String languageCode, String type, ObjectStream<NameSample> samples, TrainingParameters trainParams, byte[] featureGeneratorBytes, Map<String,Object> resources)
          Trains a name finder model.
 

Constructors in opennlp.tools.namefind with parameters of type TrainingParameters
TokenNameFinderCrossValidator(String languageCode, String type, TrainingParameters trainParams, byte[] featureGeneratorBytes, Map<String,Object> resources, TokenNameFinderEvaluationMonitor... listeners)
          Name finder cross validator
 

Uses of TrainingParameters in opennlp.tools.parser
 

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

Uses of TrainingParameters in opennlp.tools.parser.chunking
 

Methods in opennlp.tools.parser.chunking with parameters of type TrainingParameters
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
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
static POSModel POSTaggerME.train(String languageCode, ObjectStream<POSSample> samples, TrainingParameters trainParams, POSDictionary tagDictionary, Dictionary ngramDictionary)
           
 

Constructors in opennlp.tools.postag with parameters of type TrainingParameters
POSTaggerCrossValidator(String languageCode, TrainingParameters trainParam, POSDictionary tagDictionary, Dictionary ngramDictionary, POSTaggerEvaluationMonitor... listeners)
           
POSTaggerCrossValidator(String languageCode, TrainingParameters trainParam, POSDictionary tagDictionary, Integer ngramCutoff, POSTaggerEvaluationMonitor... listeners)
           
POSTaggerCrossValidator(String languageCode, TrainingParameters trainParam, POSDictionary tagDictionary, POSTaggerEvaluationMonitor... listeners)
           
 

Uses of TrainingParameters in opennlp.tools.sentdetect
 

Methods in opennlp.tools.sentdetect with parameters of type TrainingParameters
static SentenceModel SentenceDetectorME.train(String languageCode, ObjectStream<SentenceSample> samples, boolean useTokenEnd, Dictionary abbreviations, TrainingParameters mlParams)
           
 

Constructors in opennlp.tools.sentdetect with parameters of type TrainingParameters
SDCrossValidator(String languageCode, TrainingParameters params)
           
SDCrossValidator(String languageCode, TrainingParameters params, Dictionary abbreviations, SentenceDetectorEvaluationMonitor... listeners)
           
SDCrossValidator(String languageCode, TrainingParameters params, SentenceDetectorEvaluationMonitor... listeners)
           
 

Uses of TrainingParameters in opennlp.tools.tokenize
 

Methods in opennlp.tools.tokenize with parameters of type TrainingParameters
static TokenizerModel TokenizerME.train(String languageCode, ObjectStream<TokenSample> samples, boolean useAlphaNumericOptimization, TrainingParameters mlParams)
          Trains a model for the TokenizerME.
static TokenizerModel TokenizerME.train(String languageCode, ObjectStream<TokenSample> samples, Dictionary abbreviations, boolean useAlphaNumericOptimization, TrainingParameters mlParams)
          Trains a model for the TokenizerME.
 

Constructors in opennlp.tools.tokenize with parameters of type TrainingParameters
TokenizerCrossValidator(String language, boolean alphaNumericOptimization, TrainingParameters params, TokenizerEvaluationMonitor... listeners)
           
TokenizerCrossValidator(String language, Dictionary abbreviations, boolean alphaNumericOptimization, TrainingParameters params, TokenizerEvaluationMonitor... listeners)
           
 

Uses of TrainingParameters in opennlp.tools.util
 

Methods in opennlp.tools.util that return TrainingParameters
 TrainingParameters TrainingParameters.getParameters(String namespace)
           
 

Uses of TrainingParameters in opennlp.tools.util.model
 

Methods in opennlp.tools.util.model that return TrainingParameters
static TrainingParameters ModelUtil.createTrainingParameters(int iterations, int cutoff)
          Note: Do not use this legacy support method, internal use only!
 



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