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Packages that use TrainingParameters | |
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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 |
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Methods in opennlp.tools.chunker with parameters of type TrainingParameters | |
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static ChunkerModel |
ChunkerME.train(String lang,
ObjectStream<ChunkSample> in,
ChunkerContextGenerator contextGenerator,
TrainingParameters mlParams)
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Constructors in opennlp.tools.chunker with parameters of type TrainingParameters | |
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ChunkerCrossValidator(String languageCode,
TrainingParameters params,
ChunkerEvaluationMonitor... listeners)
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Uses of TrainingParameters in opennlp.tools.cmdline |
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Methods in opennlp.tools.cmdline that return TrainingParameters | |
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static TrainingParameters |
CmdLineUtil.loadTrainingParameters(String paramFile,
boolean supportSequenceTraining)
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Uses of TrainingParameters in opennlp.tools.cmdline.tokenizer |
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Methods in opennlp.tools.cmdline.tokenizer that return TrainingParameters | |
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static TrainingParameters |
TokenizerTrainerTool.createTrainingParameters(Integer iterations,
Integer cutoff)
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Uses of TrainingParameters in opennlp.tools.doccat |
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Methods in opennlp.tools.doccat with parameters of type TrainingParameters | |
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static DoccatModel |
DocumentCategorizerME.train(String languageCode,
ObjectStream<DocumentSample> samples,
TrainingParameters mlParams,
FeatureGenerator... featureGenerators)
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Uses of TrainingParameters in opennlp.tools.namefind |
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Methods in opennlp.tools.namefind with parameters of type TrainingParameters | |
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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 | |
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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 |
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Methods in opennlp.tools.parser with parameters of type TrainingParameters | |
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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 |
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Methods in opennlp.tools.parser.chunking with parameters of type TrainingParameters | |
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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 |
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Methods in opennlp.tools.parser.treeinsert with parameters of type TrainingParameters | |
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static ParserModel |
Parser.train(String languageCode,
ObjectStream<Parse> parseSamples,
HeadRules rules,
TrainingParameters mlParams)
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Uses of TrainingParameters in opennlp.tools.postag |
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Methods in opennlp.tools.postag with parameters of type TrainingParameters | |
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static POSModel |
POSTaggerME.train(String languageCode,
ObjectStream<POSSample> samples,
TrainingParameters trainParams,
POSDictionary tagDictionary,
Dictionary ngramDictionary)
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Constructors in opennlp.tools.postag with parameters of type TrainingParameters | |
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POSTaggerCrossValidator(String languageCode,
TrainingParameters trainParam,
POSDictionary tagDictionary,
Dictionary ngramDictionary,
POSTaggerEvaluationMonitor... listeners)
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POSTaggerCrossValidator(String languageCode,
TrainingParameters trainParam,
POSDictionary tagDictionary,
Integer ngramCutoff,
POSTaggerEvaluationMonitor... listeners)
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POSTaggerCrossValidator(String languageCode,
TrainingParameters trainParam,
POSDictionary tagDictionary,
POSTaggerEvaluationMonitor... listeners)
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Uses of TrainingParameters in opennlp.tools.sentdetect |
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Methods in opennlp.tools.sentdetect with parameters of type TrainingParameters | |
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static SentenceModel |
SentenceDetectorME.train(String languageCode,
ObjectStream<SentenceSample> samples,
boolean useTokenEnd,
Dictionary abbreviations,
TrainingParameters mlParams)
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Constructors in opennlp.tools.sentdetect with parameters of type TrainingParameters | |
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SDCrossValidator(String languageCode,
TrainingParameters params)
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SDCrossValidator(String languageCode,
TrainingParameters params,
Dictionary abbreviations,
SentenceDetectorEvaluationMonitor... listeners)
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SDCrossValidator(String languageCode,
TrainingParameters params,
SentenceDetectorEvaluationMonitor... listeners)
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Uses of TrainingParameters in opennlp.tools.tokenize |
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Methods in opennlp.tools.tokenize with parameters of type TrainingParameters | |
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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 | |
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TokenizerCrossValidator(String language,
boolean alphaNumericOptimization,
TrainingParameters params,
TokenizerEvaluationMonitor... listeners)
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TokenizerCrossValidator(String language,
Dictionary abbreviations,
boolean alphaNumericOptimization,
TrainingParameters params,
TokenizerEvaluationMonitor... listeners)
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Uses of TrainingParameters in opennlp.tools.util |
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Methods in opennlp.tools.util that return TrainingParameters | |
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TrainingParameters |
TrainingParameters.getParameters(String namespace)
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Uses of TrainingParameters in opennlp.tools.util.model |
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Methods in opennlp.tools.util.model that return TrainingParameters | |
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static TrainingParameters |
ModelUtil.createTrainingParameters(int iterations,
int cutoff)
Note: Do not use this legacy support method, internal use only! |
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