Uses of Class
cc.mallet.types.Instance

Packages that use Instance

Package	Description
cc.mallet.classify	Classes for training and classifying instances.
cc.mallet.cluster.iterator
cc.mallet.cluster.tui
cc.mallet.cluster.util
cc.mallet.extract	Unimplemented.
cc.mallet.extract.pipe
cc.mallet.fst	Transducers, including Conditional Random Fields (CRFs).
cc.mallet.fst.confidence
cc.mallet.fst.tests	Tests for Transducers, including Conditional Random Fields (CRFs).
cc.mallet.pipe	Classes for processing arbitrary data into instances.
cc.mallet.pipe.iterator	Classes that generate instances from different kinds of input or data structures.
cc.mallet.pipe.tests	JUnit tests for pipes.
cc.mallet.pipe.tsf	TokenSequenceFeature Pipes.
cc.mallet.regression
cc.mallet.share.casutton.ner
cc.mallet.share.mccallum.ner	Named entity recognizer.
cc.mallet.share.upenn	Utilities that currently include a command line wrapper for the maxent classifier.
cc.mallet.share.upenn.ner
cc.mallet.share.weili.ner.enron
cc.mallet.topics
cc.mallet.types	Fundamental MALLET types, including FeatureVector, Instance, Label etc.
cc.mallet.util	Miscellaneous utilities including command line processing, math functions, lexing, logging.

Uses of Instance in cc.mallet.classify

Methods in cc.mallet.classify that return Instance

Modifier and Type	Method	Description
Instance	Classification.getInstance()
Instance	Classification.toInstance()

Methods in cc.mallet.classify with parameters of type Instance

Modifier and Type	Method	Description
Classification	AdaBoost.classify(Instance inst)
Classification	AdaBoost.classify(Instance inst, int numWeakClassifiersToUse)	Classify the given instance using only the first numWeakClassifiersToUse classifiers trained during boosting
Classification	AdaBoostM2.classify(Instance inst)
Classification	AdaBoostM2.classify(Instance inst, int numWeakClassifiersToUse)	Classify the given instance using only the first numWeakClassifiersToUse classifiers trained during boosting
Classification	BaggingClassifier.classify(Instance inst)
Classification	BalancedWinnow.classify(Instance instance)	Classifies an instance using BalancedWinnow's weights
Classification	C45.classify(Instance instance)
abstract Classification	Classifier.classify(Instance instance)
Classification[]	Classifier.classify(Instance[] instances)
Classification	ClassifierEnsemble.classify(Instance instance)
Classification	ConfidencePredictingClassifier.classify(Instance instance)
Classification	DecisionTree.classify(Instance instance)
Classification	MaxEnt.classify(Instance instance)
Classification	MCMaxEnt.classify(Instance instance)
Classification	MostFrequentClassifier.classify(Instance instance)	Classify an instance using the most frequent class label.
Classification	NaiveBayes.classify(Instance instance)	Classify an instance using NaiveBayes according to the trained data.
Classification	PRAuxClassifier.classify(Instance instance)
Classification	RandomClassifier.classify(Instance instance)	Classify an instance using random selection based on the trained data.
Classification	RankMaxEnt.classify(Instance instance)
Classification	Winnow.classify(Instance instance)	Classifies an instance using Winnow's weights
void	PRAuxClassifier.getClassificationProbs(Instance instance, double[] scores)
void	MaxEnt.getClassificationScores(Instance instance, double[] scores)
void	MCMaxEnt.getClassificationScores(Instance instance, double[] scores)
void	PRAuxClassifier.getClassificationScores(Instance instance, double[] scores)
void	RankMaxEnt.getClassificationScores(Instance instance, double[] scores)
void	RankMaxEnt.getClassificationScoresForTies(Instance instance, double[] scores, int[] bestLabels)	Used by RankMaxEntTrainer to calculate the value when the labeling contains ties.
void	MaxEnt.getClassificationScoresWithTemperature(Instance instance, double temperature, double[] scores)
void	MaxEnt.getUnnormalizedClassificationScores(Instance instance, double[] scores)
void	MCMaxEnt.getUnnormalizedClassificationScores(Instance instance, double[] scores)
void	RankMaxEnt.getUnnormalizedClassificationScores(Instance instance, double[] scores)	returns unnormalized scores, corresponding to the score an element of the InstanceList being the "top" instance
C	ClassifierTrainer.ByInstanceIncrements.trainIncremental(Instance instanceToAdd)
NaiveBayes	NaiveBayesTrainer.trainIncremental(Instance instance)

Constructors in cc.mallet.classify with parameters of type Instance

Constructor	Description
Classification(Instance instance, Classifier classifier, Labeling labeling)

Uses of Instance in cc.mallet.cluster.iterator

Methods in cc.mallet.cluster.iterator that return Instance

Modifier and Type	Method	Description
Instance	AllPairsIterator.next()
Instance	ClusterSampleIterator.next()
Instance	NodeClusterSampleIterator.next()
Instance	PairSampleIterator.next()

Uses of Instance in cc.mallet.cluster.tui

Methods in cc.mallet.cluster.tui that return Instance

Modifier and Type	Method	Description
Instance	Clusterings2Clusterer.ClusteringPipe.pipe(Instance carrier)

Methods in cc.mallet.cluster.tui with parameters of type Instance

Modifier and Type	Method	Description
Instance	Clusterings2Clusterer.ClusteringPipe.pipe(Instance carrier)

Uses of Instance in cc.mallet.cluster.util

Methods in cc.mallet.cluster.util with parameters of type Instance

Modifier and Type	Method	Description
static InstanceList	ClusterUtils.makeList(Instance i, Instance j)

Uses of Instance in cc.mallet.extract

Method parameters in cc.mallet.extract with type arguments of type Instance

Modifier and Type	Method	Description
Extraction	CRFExtractor.extract(java.util.Iterator<Instance> source)
Extraction	Extractor.extract(java.util.Iterator<Instance> source)	Performs extraction on a a set of raw documents.
InstanceList	CRFExtractor.pipeInstances(java.util.Iterator<Instance> source)

Uses of Instance in cc.mallet.extract.pipe

Methods in cc.mallet.extract.pipe that return Instance

Modifier and Type	Method	Description
Instance	TokenSequence2Tokenization.pipe(Instance carrier)

Methods in cc.mallet.extract.pipe with parameters of type Instance

Modifier and Type	Method	Description
Instance	TokenSequence2Tokenization.pipe(Instance carrier)

Uses of Instance in cc.mallet.fst

Methods in cc.mallet.fst that return Instance

Modifier and Type	Method	Description
Instance	Transducer.label(Instance instance)	Take input sequence from instance.data and put the output sequence in instance.target.
Instance	SimpleTagger.SimpleTaggerSentence2FeatureVectorSequence.pipe(Instance carrier)
Instance	Transducer.transduce(Instance instance)	Take input sequence from instance.data and put the output sequence in instance.data.

Methods in cc.mallet.fst with parameters of type Instance

Modifier and Type	Method	Description
Instance	Transducer.label(Instance instance)	Take input sequence from instance.data and put the output sequence in instance.target.
Instance	SimpleTagger.SimpleTaggerSentence2FeatureVectorSequence.pipe(Instance carrier)
boolean	CRFTrainerByStochasticGradient.trainIncremental(Instance trainingInstance)
abstract boolean	TransducerTrainer.ByInstanceIncrements.trainIncremental(Instance trainingInstance)
double	CRFTrainerByStochasticGradient.trainIncrementalLikelihood(Instance trainingInstance)	Adjust the parameters by default learning rate according to the gradient of this single Instance, and return the true label sequence likelihood.
double	CRFTrainerByStochasticGradient.trainIncrementalLikelihood(Instance trainingInstance, double rate)	Adjust the parameters by learning rate according to the gradient of this single Instance, and return the true label sequence likelihood.
Instance	Transducer.transduce(Instance instance)	Take input sequence from instance.data and put the output sequence in instance.data.

Uses of Instance in cc.mallet.fst.confidence

Methods in cc.mallet.fst.confidence that return Instance

Modifier and Type	Method	Description
Instance	InstanceWithConfidence.getInstance()
Instance	PipedInstanceWithConfidence.getInstance()
Instance	SequenceConfidenceInstance.getInstance()

Methods in cc.mallet.fst.confidence with parameters of type Instance

Modifier and Type	Method	Description
double	MaxEntSequenceConfidenceEstimator.estimateConfidenceFor(Instance instance, java.lang.Object[] startTags, java.lang.Object[] inTags)	Calculates the confidence in the tagging of an Instance.
double	MinSegmentConfidenceEstimator.estimateConfidenceFor(Instance instance, java.lang.Object[] startTags, java.lang.Object[] inTags)	Calculates the confidence in the tagging of a Instance.
double	NBestViterbiConfidenceEstimator.estimateConfidenceFor(Instance instance, java.lang.Object[] startTags, java.lang.Object[] inTags)	Calculates the confidence in the tagging of a Instance.
double	QBCSequenceConfidenceEstimator.estimateConfidenceFor(Instance instance, java.lang.Object[] startTags, java.lang.Object[] inTags)	Calculates the confidence in the tagging of a Instance.
double	RandomSequenceConfidenceEstimator.estimateConfidenceFor(Instance instance, java.lang.Object[] startTags, java.lang.Object[] inTags)	Calculates the confidence in the tagging of an Instance.
double	SegmentProductConfidenceEstimator.estimateConfidenceFor(Instance instance, java.lang.Object[] startTags, java.lang.Object[] inTags)	Calculates the confidence in the tagging of a Instance.
abstract double	TransducerSequenceConfidenceEstimator.estimateConfidenceFor(Instance instance, java.lang.Object[] startTags, java.lang.Object[] inTags)	Calculates the confidence in the tagging of a Sequence.
double	ViterbiConfidenceEstimator.estimateConfidenceFor(Instance instance, java.lang.Object[] startTags, java.lang.Object[] inTags)	Calculates the confidence in the tagging of a Instance.
double	ViterbiRatioConfidenceEstimator.estimateConfidenceFor(Instance instance, java.lang.Object[] startTags, java.lang.Object[] inTags)	Calculates the confidence in the tagging of an Instance.
Segment[]	TransducerConfidenceEstimator.rankSegmentsByConfidence(Instance instance, java.lang.Object[] startTags, java.lang.Object[] continueTags)	ranks the segments in one Instance

Constructors in cc.mallet.fst.confidence with parameters of type Instance

Constructor	Description
InstanceWithConfidence(Instance inst, double c, boolean correct)
InstanceWithConfidence(Instance inst, double c, Sequence predicted)
PipedInstanceWithConfidence(Instance inst, double c, boolean correct)
SequenceConfidenceInstance(Instance inst)

Uses of Instance in cc.mallet.fst.tests

Methods in cc.mallet.fst.tests that return Instance

Modifier and Type	Method	Description
Instance	TestCRF.TestCRF2String.pipe(Instance carrier)
Instance	TestCRF.TestCRFTokenSequenceRemoveSpaces.pipe(Instance carrier)
Instance	TestMEMM.TestMEMM2String.pipe(Instance carrier)
Instance	TestMEMM.TestMEMMTokenSequenceRemoveSpaces.pipe(Instance carrier)

Methods in cc.mallet.fst.tests with parameters of type Instance

Modifier and Type	Method	Description
Instance	TestCRF.TestCRF2String.pipe(Instance carrier)
Instance	TestCRF.TestCRFTokenSequenceRemoveSpaces.pipe(Instance carrier)
Instance	TestMEMM.TestMEMM2String.pipe(Instance carrier)
Instance	TestMEMM.TestMEMMTokenSequenceRemoveSpaces.pipe(Instance carrier)

Uses of Instance in cc.mallet.pipe

Methods in cc.mallet.pipe that return Instance

Modifier and Type	Method	Description
Instance	Pipe.instanceFrom(Instance inst)
Instance[]	Pipe.instancesFrom(Instance inst)
Instance[]	Pipe.instancesFrom(java.util.Iterator<Instance> source)	A convenience method that will pull all instances from source through this pipe, and return the results as an array.
Instance	AddClassifierTokenPredictions.pipe(Instance carrier)	Add the token classifier's predictions as features to the instance.
Instance	Array2FeatureVector.pipe(Instance carrier)	Convert the data in an Instance from an array to a FeatureVector leaving other fields unchanged.
Instance	AugmentableFeatureVectorAddConjunctions.pipe(Instance carrier)
Instance	AugmentableFeatureVectorLogScale.pipe(Instance carrier)
Instance	CharSequence2CharNGrams.pipe(Instance carrier)
Instance	CharSequence2TokenSequence.pipe(Instance carrier)
Instance	CharSequenceArray2TokenSequence.pipe(Instance carrier)
Instance	CharSequenceLowercase.pipe(Instance carrier)
Instance	CharSequenceNoDiacritics.pipe(Instance carrier)
Instance	CharSequenceRemoveHTML.pipe(Instance carrier)
Instance	CharSequenceRemoveUUEncodedBlocks.pipe(Instance carrier)
Instance	CharSequenceReplace.pipe(Instance carrier)
Instance	CharSequenceReplaceHtmlEntities.pipe(Instance carrier)
Instance	CharSubsequence.pipe(Instance carrier)
Instance	Classification2ConfidencePredictingFeatureVector.pipe(Instance carrier)
Instance	CountsToFeatureSequencePipe.pipe(Instance instance)
Instance	Csv2Array.pipe(Instance carrier)	Convert the data in an Instance from a CharSequence of comma-separated-values to an array, where each index is the feature name.
Instance	Csv2FeatureVector.pipe(Instance carrier)	Convert the data in the given Instance from a CharSequence of sparse feature-value pairs to a FeatureVector
Instance	Directory2FileIterator.pipe(Instance carrier)
Instance	FeatureCountPipe.pipe(Instance instance)
Instance	FeatureDocFreqPipe.pipe(Instance instance)
Instance	FeatureSequence2AugmentableFeatureVector.pipe(Instance carrier)
Instance	FeatureSequence2FeatureVector.pipe(Instance carrier)
Instance	FeatureSequenceConvolution.pipe(Instance carrier)
Instance	FeatureValueString2FeatureVector.pipe(Instance carrier)
Instance	FeatureVectorConjunctions.pipe(Instance carrier)
Instance	Filename2CharSequence.pipe(Instance carrier)
Instance	FixedVocabTokenizer.pipe(Instance instance)
Instance	Input2CharSequence.pipe(Instance carrier)
Instance	InstanceListTrimFeaturesByCount.pipe(Instance carrier)
Instance	LineGroupString2TokenSequence.pipe(Instance carrier)
Instance	MakeAmpersandXMLFriendly.pipe(Instance carrier)
Instance	NGramPreprocessor.pipe(Instance instance)
Instance	Noop.pipe(Instance carrier)
Instance	Pipe.pipe(Instance inst)	Really this should be 'protected', but isn't for historical reasons.
Instance	PrintInput.pipe(Instance carrier)
Instance	PrintInputAndTarget.pipe(Instance carrier)
Instance	PrintTokenSequenceFeatures.pipe(Instance carrier)
Instance	SaveDataInSource.pipe(Instance carrier)
Instance	SelectiveSGML2TokenSequence.pipe(Instance carrier)
Instance	SGML2TokenSequence.pipe(Instance carrier)
Instance	SimpleTaggerSentence2StringTokenization.pipe(Instance carrier)	Takes an instance with data of type String or String[][] and creates an Instance of type StringTokenization.
Instance	SimpleTaggerSentence2TokenSequence.pipe(Instance carrier)	Takes an instance with data of type String or String[][] and creates an Instance of type TokenSequence.
Instance	SimpleTokenizer.pipe(Instance instance)
Instance	SourceLocation2TokenSequence.pipe(Instance carrier)
Instance	StringAddNewLineDelimiter.pipe(Instance carrier)
Instance	StringList2FeatureSequence.pipe(Instance carrier)
Instance	SvmLight2FeatureVectorAndLabel.pipe(Instance carrier)
Instance	Target2Double.pipe(Instance carrier)
Instance	Target2FeatureSequence.pipe(Instance carrier)
Instance	Target2Integer.pipe(Instance carrier)
Instance	Target2Label.pipe(Instance carrier)
Instance	Target2LabelSequence.pipe(Instance carrier)
Instance	TargetRememberLastLabel.pipe(Instance carrier)
Instance	TargetStringToFeatures.pipe(Instance carrier)
Instance	Token2FeatureVector.pipe(Instance carrier)
Instance	TokenSequence2FeatureSequence.pipe(Instance carrier)
Instance	TokenSequence2FeatureSequenceWithBigrams.pipe(Instance carrier)
Instance	TokenSequence2FeatureVectorSequence.pipe(Instance carrier)
Instance	TokenSequence2PorterStems.pipe(Instance carrier)
Instance	TokenSequenceLowercase.pipe(Instance carrier)
Instance	TokenSequenceMatchDataAndTarget.pipe(Instance carrier)
Instance	TokenSequenceNGrams.pipe(Instance carrier)
Instance	TokenSequenceParseFeatureString.pipe(Instance carrier)
Instance	TokenSequenceRemoveNonAlpha.pipe(Instance carrier)
Instance	TokenSequenceRemoveStopPatterns.pipe(Instance carrier)
Instance	TokenSequenceRemoveStopwords.pipe(Instance carrier)
Instance	ValueString2FeatureVector.pipe(Instance carrier)

Methods in cc.mallet.pipe that return types with arguments of type Instance

Modifier and Type	Method	Description
java.util.Iterator<Instance>	BranchingPipe.newIteratorFrom(java.util.Iterator<Instance> source)	Deprecated.
java.util.Iterator<Instance>	FeatureVectorSequence2FeatureVectors.newIteratorFrom(java.util.Iterator<Instance> inputIterator)
java.util.Iterator<Instance>	FilterEmptyFeatureVectors.newIteratorFrom(java.util.Iterator<Instance> source)
java.util.Iterator<Instance>	Pipe.newIteratorFrom(java.util.Iterator<Instance> source)	Given an InstanceIterator, return a new InstanceIterator whose instances have also been processed by this pipe.
java.util.Iterator<Instance>	SerialPipes.newIteratorFrom(java.util.Iterator<Instance> source)

Methods in cc.mallet.pipe with parameters of type Instance

Modifier and Type	Method	Description
Classification	AddClassifierTokenPredictions.TokenClassifiers.classify(Instance instance)
Classification	AddClassifierTokenPredictions.TokenClassifiers.classify(Instance instance, boolean useOutOfFold)
static InstanceList	AddClassifierTokenPredictions.convert(Instance inst, Noop alphabetsPipe)
Instance	Pipe.instanceFrom(Instance inst)
Instance[]	Pipe.instancesFrom(Instance inst)
Instance	AddClassifierTokenPredictions.pipe(Instance carrier)	Add the token classifier's predictions as features to the instance.
Instance	Array2FeatureVector.pipe(Instance carrier)	Convert the data in an Instance from an array to a FeatureVector leaving other fields unchanged.
Instance	AugmentableFeatureVectorAddConjunctions.pipe(Instance carrier)
Instance	AugmentableFeatureVectorLogScale.pipe(Instance carrier)
Instance	CharSequence2CharNGrams.pipe(Instance carrier)
Instance	CharSequence2TokenSequence.pipe(Instance carrier)
Instance	CharSequenceArray2TokenSequence.pipe(Instance carrier)
Instance	CharSequenceLowercase.pipe(Instance carrier)
Instance	CharSequenceNoDiacritics.pipe(Instance carrier)
Instance	CharSequenceRemoveHTML.pipe(Instance carrier)
Instance	CharSequenceRemoveUUEncodedBlocks.pipe(Instance carrier)
Instance	CharSequenceReplace.pipe(Instance carrier)
Instance	CharSequenceReplaceHtmlEntities.pipe(Instance carrier)
Instance	CharSubsequence.pipe(Instance carrier)
Instance	Classification2ConfidencePredictingFeatureVector.pipe(Instance carrier)
Instance	CountsToFeatureSequencePipe.pipe(Instance instance)
Instance	Csv2Array.pipe(Instance carrier)	Convert the data in an Instance from a CharSequence of comma-separated-values to an array, where each index is the feature name.
Instance	Csv2FeatureVector.pipe(Instance carrier)	Convert the data in the given Instance from a CharSequence of sparse feature-value pairs to a FeatureVector
Instance	Directory2FileIterator.pipe(Instance carrier)
Instance	FeatureCountPipe.pipe(Instance instance)
Instance	FeatureDocFreqPipe.pipe(Instance instance)
Instance	FeatureSequence2AugmentableFeatureVector.pipe(Instance carrier)
Instance	FeatureSequence2FeatureVector.pipe(Instance carrier)
Instance	FeatureSequenceConvolution.pipe(Instance carrier)
Instance	FeatureValueString2FeatureVector.pipe(Instance carrier)
Instance	FeatureVectorConjunctions.pipe(Instance carrier)
Instance	Filename2CharSequence.pipe(Instance carrier)
Instance	FixedVocabTokenizer.pipe(Instance instance)
Instance	Input2CharSequence.pipe(Instance carrier)
Instance	InstanceListTrimFeaturesByCount.pipe(Instance carrier)
Instance	LineGroupString2TokenSequence.pipe(Instance carrier)
Instance	MakeAmpersandXMLFriendly.pipe(Instance carrier)
Instance	NGramPreprocessor.pipe(Instance instance)
Instance	Noop.pipe(Instance carrier)
Instance	Pipe.pipe(Instance inst)	Really this should be 'protected', but isn't for historical reasons.
Instance	PrintInput.pipe(Instance carrier)
Instance	PrintInputAndTarget.pipe(Instance carrier)
Instance	PrintTokenSequenceFeatures.pipe(Instance carrier)
Instance	SaveDataInSource.pipe(Instance carrier)
Instance	SelectiveSGML2TokenSequence.pipe(Instance carrier)
Instance	SGML2TokenSequence.pipe(Instance carrier)
Instance	SimpleTaggerSentence2StringTokenization.pipe(Instance carrier)	Takes an instance with data of type String or String[][] and creates an Instance of type StringTokenization.
Instance	SimpleTaggerSentence2TokenSequence.pipe(Instance carrier)	Takes an instance with data of type String or String[][] and creates an Instance of type TokenSequence.
Instance	SimpleTokenizer.pipe(Instance instance)
Instance	SourceLocation2TokenSequence.pipe(Instance carrier)
Instance	StringAddNewLineDelimiter.pipe(Instance carrier)
Instance	StringList2FeatureSequence.pipe(Instance carrier)
Instance	SvmLight2FeatureVectorAndLabel.pipe(Instance carrier)
Instance	Target2Double.pipe(Instance carrier)
Instance	Target2FeatureSequence.pipe(Instance carrier)
Instance	Target2Integer.pipe(Instance carrier)
Instance	Target2Label.pipe(Instance carrier)
Instance	Target2LabelSequence.pipe(Instance carrier)
Instance	TargetRememberLastLabel.pipe(Instance carrier)
Instance	TargetStringToFeatures.pipe(Instance carrier)
Instance	Token2FeatureVector.pipe(Instance carrier)
Instance	TokenSequence2FeatureSequence.pipe(Instance carrier)
Instance	TokenSequence2FeatureSequenceWithBigrams.pipe(Instance carrier)
Instance	TokenSequence2FeatureVectorSequence.pipe(Instance carrier)
Instance	TokenSequence2PorterStems.pipe(Instance carrier)
Instance	TokenSequenceLowercase.pipe(Instance carrier)
Instance	TokenSequenceMatchDataAndTarget.pipe(Instance carrier)
Instance	TokenSequenceNGrams.pipe(Instance carrier)
Instance	TokenSequenceParseFeatureString.pipe(Instance carrier)
Instance	TokenSequenceRemoveNonAlpha.pipe(Instance carrier)
Instance	TokenSequenceRemoveStopPatterns.pipe(Instance carrier)
Instance	TokenSequenceRemoveStopwords.pipe(Instance carrier)
Instance	ValueString2FeatureVector.pipe(Instance carrier)
boolean	Pipe.precondition(Instance inst)	Each instance processed is tested by this method.

Method parameters in cc.mallet.pipe with type arguments of type Instance

Modifier and Type	Method	Description
Instance[]	Pipe.instancesFrom(java.util.Iterator<Instance> source)	A convenience method that will pull all instances from source through this pipe, and return the results as an array.
java.util.Iterator<Instance>	BranchingPipe.newIteratorFrom(java.util.Iterator<Instance> source)	Deprecated.
java.util.Iterator<Instance>	FeatureVectorSequence2FeatureVectors.newIteratorFrom(java.util.Iterator<Instance> inputIterator)
java.util.Iterator<Instance>	FilterEmptyFeatureVectors.newIteratorFrom(java.util.Iterator<Instance> source)
java.util.Iterator<Instance>	Pipe.newIteratorFrom(java.util.Iterator<Instance> source)	Given an InstanceIterator, return a new InstanceIterator whose instances have also been processed by this pipe.
java.util.Iterator<Instance>	SerialPipes.newIteratorFrom(java.util.Iterator<Instance> source)

Uses of Instance in cc.mallet.pipe.iterator

Methods in cc.mallet.pipe.iterator that return Instance

Modifier and Type	Method	Description
Instance	ArrayDataAndTargetIterator.next()
Instance	ArrayIterator.next()
Instance	ConcatenatedInstanceIterator.next()
Instance	CsvIterator.next()
Instance	DBInstanceIterator.next()
Instance	EmptyInstanceIterator.next()
Instance	FileIterator.next()
Instance	FileListIterator.next()
Instance	FileUriIterator.next()
Instance	LineGroupIterator.next()
Instance	LineIterator.next()
Instance	ParenGroupIterator.next()
Instance	PatternMatchIterator.next()
Instance	PipeExtendedIterator.next()	Deprecated.
abstract Instance	PipeInputIterator.next()	Deprecated.
Instance	RandomFeatureVectorIterator.next()
Instance	RandomTokenSequenceIterator.next()
Instance	SegmentIterator.next()
Instance	SelectiveFileLineIterator.next()
Instance	SimpleFileLineIterator.next()
Instance	StringArrayIterator.next()
Instance	UnlabeledFileIterator.next()

Constructors in cc.mallet.pipe.iterator with parameters of type Instance

Constructor	Description
SegmentIterator(Transducer model, Instance instance, java.lang.Object[] segmentStartTags, java.lang.Object[] segmentContinueTags)	Iterates over Segments for only one Instance.
SegmentIterator(Instance instance, java.lang.Object[] startTags, java.lang.Object[] inTags, Sequence prediction)	Iterate over segments in one instance.

Constructor parameters in cc.mallet.pipe.iterator with type arguments of type Instance

Constructor	Description
PipeExtendedIterator(java.util.Iterator<Instance> iterator, Pipe pipe)	Deprecated. Creates a new PipeExtendedIterator instance.

Uses of Instance in cc.mallet.pipe.tests

Methods in cc.mallet.pipe.tests that return Instance

Modifier and Type	Method	Description
Instance	TestInstancePipe.Array2ArrayIterator.pipe(Instance carrier)
Instance	TestSGML2TokenSequence.Array2ArrayIterator.pipe(Instance carrier)

Methods in cc.mallet.pipe.tests with parameters of type Instance

Modifier and Type	Method	Description
Instance	TestInstancePipe.Array2ArrayIterator.pipe(Instance carrier)
Instance	TestSGML2TokenSequence.Array2ArrayIterator.pipe(Instance carrier)

Uses of Instance in cc.mallet.pipe.tsf

Methods in cc.mallet.pipe.tsf that return Instance

Modifier and Type	Method	Description
Instance	CountMatches.pipe(Instance carrier)
Instance	CountMatchesAlignedWithOffsets.pipe(Instance carrier)
Instance	CountMatchesMatching.pipe(Instance carrier)
Instance	FeaturesInWindow.pipe(Instance carrier)
Instance	FeaturesOfFirstMention.pipe(Instance carrier)
Instance	LexiconMembership.pipe(Instance carrier)
Instance	OffsetConjunctions.pipe(Instance carrier)
Instance	OffsetFeatureConjunction.pipe(Instance carrier)
Instance	OffsetPropertyConjunctions.pipe(Instance carrier)
Instance	RegexMatches.pipe(Instance carrier)
Instance	SequencePrintingPipe.pipe(Instance carrier)
Instance	Target2BIOFormat.pipe(Instance carrier)
Instance	TokenFirstPosition.pipe(Instance instance)
Instance	TokenText.pipe(Instance carrier)
Instance	TokenTextCharNGrams.pipe(Instance carrier)
Instance	TokenTextCharPrefix.pipe(Instance carrier)
Instance	TokenTextCharSuffix.pipe(Instance carrier)
Instance	TokenTextNGrams.pipe(Instance carrier)
Instance	TrieLexiconMembership.pipe(Instance carrier)
Instance	WordVectors.pipe(Instance carrier)

Methods in cc.mallet.pipe.tsf with parameters of type Instance

Modifier and Type	Method	Description
Instance	CountMatches.pipe(Instance carrier)
Instance	CountMatchesAlignedWithOffsets.pipe(Instance carrier)
Instance	CountMatchesMatching.pipe(Instance carrier)
Instance	FeaturesInWindow.pipe(Instance carrier)
Instance	FeaturesOfFirstMention.pipe(Instance carrier)
Instance	LexiconMembership.pipe(Instance carrier)
Instance	OffsetConjunctions.pipe(Instance carrier)
Instance	OffsetFeatureConjunction.pipe(Instance carrier)
Instance	OffsetPropertyConjunctions.pipe(Instance carrier)
Instance	RegexMatches.pipe(Instance carrier)
Instance	SequencePrintingPipe.pipe(Instance carrier)
Instance	Target2BIOFormat.pipe(Instance carrier)
Instance	TokenFirstPosition.pipe(Instance instance)
Instance	TokenText.pipe(Instance carrier)
Instance	TokenTextCharNGrams.pipe(Instance carrier)
Instance	TokenTextCharPrefix.pipe(Instance carrier)
Instance	TokenTextCharSuffix.pipe(Instance carrier)
Instance	TokenTextNGrams.pipe(Instance carrier)
Instance	TrieLexiconMembership.pipe(Instance carrier)
Instance	WordVectors.pipe(Instance carrier)

Uses of Instance in cc.mallet.regression

Methods in cc.mallet.regression with parameters of type Instance

Modifier and Type	Method	Description
double	LinearRegression.predict(Instance instance)

Uses of Instance in cc.mallet.share.casutton.ner

Methods in cc.mallet.share.casutton.ner that return Instance

Modifier and Type	Method	Description
Instance	ConllNer2003Sentence2TokenSequence.pipe(Instance carrier)

Methods in cc.mallet.share.casutton.ner with parameters of type Instance

Modifier and Type	Method	Description
Instance	ConllNer2003Sentence2TokenSequence.pipe(Instance carrier)

Uses of Instance in cc.mallet.share.mccallum.ner

Methods in cc.mallet.share.mccallum.ner that return Instance

Modifier and Type	Method	Description
Instance	ConllNer2003Sentence2TokenSequence.pipe(Instance carrier)
Instance	TokenSequenceDocHeader.pipe(Instance carrier)

Methods in cc.mallet.share.mccallum.ner with parameters of type Instance

Modifier and Type	Method	Description
Instance	ConllNer2003Sentence2TokenSequence.pipe(Instance carrier)
Instance	TokenSequenceDocHeader.pipe(Instance carrier)

Uses of Instance in cc.mallet.share.upenn

Method parameters in cc.mallet.share.upenn with type arguments of type Instance

Modifier and Type	Method	Description
static Classification[]	MaxEntShell.classify(Classifier classifier, java.util.Iterator<Instance> data)	Compute the maxent classifications for unlabeled instances given by an iterator.
static double	MaxEntShell.test(Classifier classifier, java.util.Iterator<Instance> data)	Test a maxent classifier.
static Classifier	MaxEntShell.train(java.util.Iterator<Instance> data, double var, java.io.File save)	Train a maxent classifier.

Uses of Instance in cc.mallet.share.upenn.ner

Methods in cc.mallet.share.upenn.ner that return Instance

Modifier and Type	Method	Description
Instance	FeatureWindow.pipe(Instance carrier)
Instance	LengthBins.pipe(Instance carrier)
Instance	ListMember.pipe(Instance carrier)
Instance	LongRegexMatches.pipe(Instance carrier)

Methods in cc.mallet.share.upenn.ner with parameters of type Instance

Modifier and Type	Method	Description
Instance	FeatureWindow.pipe(Instance carrier)
Instance	LengthBins.pipe(Instance carrier)
Instance	ListMember.pipe(Instance carrier)
Instance	LongRegexMatches.pipe(Instance carrier)

Uses of Instance in cc.mallet.share.weili.ner.enron

Methods in cc.mallet.share.weili.ner.enron that return Instance

Modifier and Type	Method	Description
Instance	EnronMessage2TokenSequence.pipe(Instance carrier)

Methods in cc.mallet.share.weili.ner.enron with parameters of type Instance

Modifier and Type	Method	Description
Instance	EnronMessage2TokenSequence.pipe(Instance carrier)

Uses of Instance in cc.mallet.topics

Fields in cc.mallet.topics declared as Instance

Modifier and Type	Field	Description
Instance	LDAHyper.Topication.instance
Instance	TopicAssignment.instance
Instance[]	PolylingualTopicModel.TopicAssignment.instances

Methods in cc.mallet.topics with parameters of type Instance

Modifier and Type	Method	Description
void	DMRTopicModel.cacheAlphas(Instance instance, int docIndex)	Set alpha based on features in an instance
double[]	DMRInferencer.getSampledDistribution(Instance instance, int numIterations, int thinning, int burnIn)
double[]	TopicInferencer.getSampledDistribution(Instance instance, int numIterations, int thinning, int burnIn)	Use Gibbs sampling to infer a topic distribution.
protected int	LDAHyper.instanceLength(Instance instance)	Deprecated.

Constructors in cc.mallet.topics with parameters of type Instance

Constructor	Description
TopicAssignment(Instance[] instances, LabelSequence[] topicSequences)
TopicAssignment(Instance instance, LabelSequence topicSequence)
Topication(Instance instance, LDAHyper model, LabelSequence topicSequence)

Uses of Instance in cc.mallet.types

Methods in cc.mallet.types that return Instance

Modifier and Type	Method	Description
Instance	MultiInstanceList.get(int index)
Instance	PagedInstanceList.get(int index)	Returns the Instance at the specified index.
abstract Instance	ChainedInstanceIterator.next()	Deprecated.
Instance	SingleInstanceIterator.next()
Instance	InstanceList.remove(int index)
Instance	MultiInstanceList.remove(int index)
Instance	InstanceList.set(int index, Instance instance)
Instance	MultiInstanceList.set(int index, Instance instance)
Instance	PagedInstanceList.set(int index, Instance instance)	Replaces the Instance at position index with a new one.
Instance	Instance.shallowCopy()

Methods in cc.mallet.types that return types with arguments of type Instance

Modifier and Type	Method	Description
java.util.Iterator<Instance>	MultiInstanceList.iterator()
java.util.Iterator<Instance>	PagedInstanceList.iterator()
java.util.ListIterator<Instance>	MultiInstanceList.listIterator()
java.util.ListIterator<Instance>	MultiInstanceList.listIterator(int index)

Methods in cc.mallet.types with parameters of type Instance

Modifier and Type	Method	Description
void	InstanceList.add(int index, Instance element)
boolean	InstanceList.add(Instance instance)	Appends the instance to this list without passing the instance through the InstanceList's pipe.
boolean	InstanceList.add(Instance instance, double instanceWeight)	Appends the instance to this list without passing it through this InstanceList's pipe, assigning it the specified weight.
void	MultiInstanceList.add(int index, Instance element)
boolean	MultiInstanceList.add(Instance instance)
boolean	MultiInstanceList.add(Instance instance, double instanceWeight)
boolean	PagedInstanceList.add(Instance instance)	Appends the instance to this list.
void	InstanceList.addThruPipe(Instance inst)	Adds the input instance to this list, after passing it through the InstanceList's pipe.
double	InstanceList.getInstanceWeight(Instance instance)
boolean	Labeler.label(Instance instanceToLabel)	Given the (presumably unlabeled) instanceToLabel, set its target field to the true label.
boolean	InstanceList.remove(Instance instance)
boolean	MultiInstanceList.remove(Instance instance)
Instance	InstanceList.set(int index, Instance instance)
Instance	MultiInstanceList.set(int index, Instance instance)
Instance	PagedInstanceList.set(int index, Instance instance)	Replaces the Instance at position index with a new one.
void	InstanceList.setInstance(int index, Instance instance)	Replaces the Instance at position index with a new one.
void	MultiInstanceList.setInstance(int index, Instance instance)
void	InstanceList.setInstanceWeight(Instance instance, double weight)
void	MultiInstanceList.setInstanceWeight(Instance instance, double weight)

Method parameters in cc.mallet.types with type arguments of type Instance

Modifier and Type	Method	Description
boolean	InstanceList.addAll(int index, java.util.Collection<? extends Instance> c)
boolean	InstanceList.addAll(java.util.Collection<? extends Instance> instances)
void	InstanceList.addThruPipe(java.util.Iterator<Instance> ii)	Adds to this list every instance generated by the iterator, passing each one through this InstanceList's pipe.
boolean	ChainedInstanceIterator.sourceNowHasNext(java.util.Iterator<Instance> source)	Deprecated. The "source" of this iterator sends this message to tell this iterator that, even though source.hasNext() may have returned false before, it would now return true.

Constructors in cc.mallet.types with parameters of type Instance

Constructor	Description
SingleInstanceIterator(Instance inst)

Constructor parameters in cc.mallet.types with type arguments of type Instance

Constructor	Description
ChainedInstanceIterator(java.util.Iterator<Instance> source, ChainedInstanceIterator target)	Deprecated. Both source and target may be null.

Uses of Instance in cc.mallet.util

Method parameters in cc.mallet.util with type arguments of type Instance

Modifier and Type	Method	Description
void	DBInstanceStore.saveInstances(java.util.Iterator<Instance> iterator)