Uses of Class
cc.mallet.pipe.Pipe

Packages that use Pipe

Package	Description
cc.mallet.classify	Classes for training and classifying instances.
cc.mallet.cluster	Unsupervised clustering of Instance objects within an InstanceList.
cc.mallet.cluster.tui
cc.mallet.extract	Unimplemented.
cc.mallet.extract.pipe
cc.mallet.fst	Transducers, including Conditional Random Fields (CRFs).
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.share.casutton.ner
cc.mallet.share.mccallum.ner	Named entity recognizer.
cc.mallet.share.upenn.ner
cc.mallet.share.weili.ner.enron
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 Pipe in cc.mallet.classify

Fields in cc.mallet.classify declared as Pipe

Modifier and Type	Field	Description
protected Pipe	Classifier.instancePipe

Methods in cc.mallet.classify that return Pipe

Modifier and Type	Method	Description
Pipe	Classifier.getInstancePipe()

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

Modifier and Type	Method	Description
static int	MaxEnt.getNumParameters(Pipe instancePipe)

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

Constructor	Description
AdaBoost(Pipe instancePipe, Classifier[] weakClassifiers, double[] alphas)
AdaBoostM2(Pipe instancePipe, Classifier[] weakClassifiers, double[] alphas)
BaggingClassifier(Pipe instancePipe, Classifier[] baggedClassifiers)
BalancedWinnow(Pipe dataPipe, double[][] weights)	Passes along data pipe and weights from BalancedWinnowTrainer
C45(Pipe instancePipe, C45.Node root)
Classifier(Pipe instancePipe)
ConfidencePredictingClassifierTrainer(ClassifierTrainer underlyingClassifierTrainer, InstanceList validationSet, Pipe confidencePredictingPipe)
DecisionTree(Pipe instancePipe, DecisionTree.Node root)
MaxEnt(Pipe dataPipe, double[] parameters)
MaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection)
MaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection[] perClassFeatureSelection)
MaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection, FeatureSelection[] perClassFeatureSelection)
MCMaxEnt(Pipe dataPipe, double[] parameters)
MCMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection)
MCMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection[] perClassFeatureSelection)
MCMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection, FeatureSelection[] perClassFeatureSelection)
MostFrequentClassifier(Pipe instancePipe)
NaiveBayes(Pipe instancePipe, Multinomial.Logged prior, Multinomial.Logged[] classIndex2FeatureProb)	Construct a NaiveBayes classifier from a pipe, prior estimates for each Classification, and feature estimates of each Classification.
NaiveBayes(Pipe dataPipe, Multinomial prior, Multinomial[] classIndex2FeatureProb)	Construct a NaiveBayes classifier from a pipe, prior estimates for each Classification, and feature estimates of each Classification.
NaiveBayesTrainer(Pipe instancePipe)
PRAuxClassifier(Pipe pipe, java.util.ArrayList<MaxEntPRConstraint> constraints)
RandomClassifier(Pipe instancePipe)
RankMaxEnt(Pipe dataPipe, double[] parameters)
RankMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection)
RankMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection[] perClassFeatureSelection)
RankMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection, FeatureSelection[] perClassFeatureSelection)
Winnow(Pipe dataPipe, double[][] newWeights, double theta, int idim, int jdim)	Passes along data pipe and weights from WinnowTrainer

Uses of Pipe in cc.mallet.cluster

Methods in cc.mallet.cluster that return Pipe

Modifier and Type	Method	Description
Pipe	Clusterer.getPipe()

Constructors in cc.mallet.cluster with parameters of type Pipe

Constructor	Description
Clusterer(Pipe instancePipe)	Creates a new Clusterer instance.
GreedyAgglomerative(Pipe instancePipe, NeighborEvaluator evaluator, double stoppingThreshold)
GreedyAgglomerativeByDensity(Pipe instancePipe, NeighborEvaluator evaluator, double stoppingThreshold, boolean doPostConvergenceMerges, java.util.Random random)
HillClimbingClusterer(Pipe instancePipe, NeighborEvaluator evaluator)
KBestClusterer(Pipe instancePipe)
KMeans(Pipe instancePipe, int numClusters, Metric metric)	Construct a KMeans object
KMeans(Pipe instancePipe, int numClusters, Metric metric, int emptyAction)	Construct a KMeans object

Uses of Pipe in cc.mallet.cluster.tui

Subclasses of Pipe in cc.mallet.cluster.tui

Modifier and Type	Class	Description
static class	Clusterings2Clusterer.ClusteringPipe

Uses of Pipe in cc.mallet.extract

Methods in cc.mallet.extract that return Pipe

Modifier and Type	Method	Description
Pipe	CRFExtractor.getFeaturePipe()
Pipe	Extractor.getFeaturePipe()	Returns the pipe used by this extractor for.
Pipe	CRFExtractor.getTokenizationPipe()
Pipe	Extractor.getTokenizationPipe()	Returns the pipe used by this extractor to tokenize the input.

Methods in cc.mallet.extract with parameters of type Pipe

Modifier and Type	Method	Description
void	CRFExtractor.setFeaturePipe(Pipe featurePipe)
void	CRFExtractor.setTokenizationPipe(Pipe tokenizationPipe)
void	Extractor.setTokenizationPipe(Pipe pipe)	Sets the pipe used by this extractor for tokenization.

Constructors in cc.mallet.extract with parameters of type Pipe

Constructor	Description
CRFExtractor(CRF crf, Pipe tokpipe)
CRFExtractor(CRF crf, Pipe tokpipe, TokenizationFilter filter)
CRFExtractor(CRF crf, Pipe tokpipe, TokenizationFilter filter, java.lang.String backgroundTag)
TransducerExtractionConfidenceEstimator(TransducerConfidenceEstimator confidenceEstimator, java.lang.Object[] startTags, java.lang.Object[] continueTags, Pipe featurePipe)

Uses of Pipe in cc.mallet.extract.pipe

Subclasses of Pipe in cc.mallet.extract.pipe

Modifier and Type	Class	Description
class	TokenSequence2Tokenization	Heuristically converts a simple token sequence into a Tokenization that can be used with all the extract package goodies.

Uses of Pipe in cc.mallet.fst

Subclasses of Pipe in cc.mallet.fst

Modifier and Type	Class	Description
static class	SimpleTagger.SimpleTaggerSentence2FeatureVectorSequence	Converts an external encoding of a sequence of elements with binary features to a FeatureVectorSequence.

Fields in cc.mallet.fst declared as Pipe

Modifier and Type	Field	Description
protected Pipe	Transducer.inputPipe	A pipe that should produce a Sequence in the "data" slot, (and possibly one in the "target" slot also
protected Pipe	Transducer.outputPipe	A pipe that should expect the Transducer's output sequence in the "target" slot, and should produce something printable in the "source" slot that indicates the results of transduction.

Methods in cc.mallet.fst that return Pipe

Modifier and Type	Method	Description
Pipe	Transducer.getInputPipe()
Pipe	Transducer.getOutputPipe()

Constructors in cc.mallet.fst with parameters of type Pipe

Constructor	Description
CRF(Pipe inputPipe, Pipe outputPipe)
HMM(Pipe inputPipe, Pipe outputPipe)
MEMM(Pipe inputPipe, Pipe outputPipe)
Transducer(Pipe inputPipe, Pipe outputPipe)

Uses of Pipe in cc.mallet.fst.tests

Subclasses of Pipe in cc.mallet.fst.tests

Modifier and Type	Class	Description
static class	TestCRF.TestCRF2String
static class	TestCRF.TestCRFTokenSequenceRemoveSpaces
class	TestMEMM.TestMEMM2String
static class	TestMEMM.TestMEMMTokenSequenceRemoveSpaces

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

Modifier and Type	Method	Description
static Pipe	TestMEMM.makeSpacePredictionPipe()

Uses of Pipe in cc.mallet.pipe

Subclasses of Pipe in cc.mallet.pipe

Modifier and Type	Class	Description
class	AddClassifierTokenPredictions	This pipe uses a Classifier to label each token (i.e., using 0-th order Markov assumption), then adds the predictions as features to each token.
class	Array2FeatureVector	Converts a Java array of numerical types to a FeatureVector, where the Alphabet is the data array index wrapped in an Integer object.
class	AugmentableFeatureVectorAddConjunctions	Add specified conjunctions to each instance.
class	AugmentableFeatureVectorLogScale	Given an AugmentableFeatureVector, set those values greater than or equal to 1 to log(value)+1.
class	BranchingPipe	Deprecated.
class	CharSequence2CharNGrams	Transform a character sequence into a token sequence of character N grams.
class	CharSequence2TokenSequence	Pipe that tokenizes a character sequence.
class	CharSequenceArray2TokenSequence	Transform an array of character Sequences into a token sequence.
class	CharSequenceLowercase	Replace the data string or string buffer with a lowercased version.
class	CharSequenceNoDiacritics	A string normalizer which performs the following steps: Unicode canonical decomposition (Form#NFD) Removal of diacritical marks Unicode canonical composition (Form#NFC)
class	CharSequenceRemoveHTML	This pipe removes HTML from a CharSequence.
class	CharSequenceRemoveUUEncodedBlocks
class	CharSequenceReplace	Given a string, repeatedly look for matches of the regex, and replace the entire match with the given replacement string.
class	CharSequenceReplaceHtmlEntities	Be careful here: this pipe must be applied before CharSequenceLowercase because it is case sensitive.
class	CharSubsequence	Given a string, return only the portion of the string inside a regex parenthesized group.
class	Classification2ConfidencePredictingFeatureVector	Pipe features from underlying classifier to the confidence prediction instance list
class	CountsToFeatureSequencePipe
class	Csv2Array	Converts a string of comma separated values to an array.
class	Csv2FeatureVector	Converts a string of the form feature_1:val_1 feature_2:val_2 ...
class	Directory2FileIterator	Convert a File object representing a directory into a FileIterator which iterates over files in the directory matching a pattern and which extracts a label from each file path to become the target field of the instance.
class	FeatureCountPipe	Pruning low-count features can be a good way to save memory and computation.
class	FeatureDocFreqPipe	Pruning low-count features can be a good way to save memory and computation.
class	FeatureSequence2AugmentableFeatureVector	Convert the data field from a feature sequence to an augmentable feature vector.
class	FeatureSequence2FeatureVector	Convert the data field from a feature sequence to a feature vector.
class	FeatureSequenceConvolution
class	FeatureValueString2FeatureVector
class	FeatureVectorConjunctions	Include in the FeatureVector conjunctions of all its features.
class	FeatureVectorSequence2FeatureVectors	Given instances with a FeatureVectorSequence in the data field, break up the sequence into the individual FeatureVectors, producing one FeatureVector per Instance.
class	Filename2CharSequence	Given a filename contained in a string, read in contents of file into a CharSequence.
class	FilterEmptyFeatureVectors
class	FixedVocabTokenizer	A simple unicode tokenizer that accepts sequences of letters as tokens.
class	Input2CharSequence	Pipe that can read from various kinds of text sources (either URI, File, or Reader) into a CharSequence
class	InstanceListTrimFeaturesByCount	Unimplemented.
class	LineGroupString2TokenSequence
class	MakeAmpersandXMLFriendly	convert & to &amp in tokens of a token sequence
class	NGramPreprocessor	This pipe changes text to lowercase, removes common XML entities (quot, apos, lt, gt), and replaces all punctuation except the - character with whitespace.
class	Noop	A pipe that does nothing to the instance fields but which has side effects on the dictionary.
class	PrintInput	Print the data field of each instance.
class	PrintInputAndTarget	Print the data and target fields of each instance.
class	PrintTokenSequenceFeatures	Print properties of the token sequence in the data field and the corresponding value of any token in a token sequence or feature in a featur sequence in the target field.
class	SaveDataInSource	Set the source field of each instance to its data field.
class	SelectiveSGML2TokenSequence	Similar to SGML2TokenSequence, except that only the tags listed in allowedTags are converted to Labels.
class	SerialPipes	Convert an instance through a sequence of pipes.
class	SGML2TokenSequence	Converts a string containing simple SGML tags into a dta TokenSequence of words, paired with a target TokenSequence containing the SGML tags in effect for each word.
class	SimpleTaggerSentence2StringTokenization	This extends SimpleTaggerSentence2TokenSequence to use {Slink StringTokenizations} for use with the extract package.
class	SimpleTaggerSentence2TokenSequence	Converts an external encoding of a sequence of elements with binary features to a TokenSequence.
class	SimpleTokenizer	A simple unicode tokenizer that accepts sequences of letters as tokens.
class	SourceLocation2TokenSequence	Read from File or BufferedRead in the data field and produce a TokenSequence.
class	StringAddNewLineDelimiter	Pipe that can adds special text between lines to explicitly represent line breaks.
class	StringList2FeatureSequence	Convert a list of strings into a feature sequence
class	SvmLight2FeatureVectorAndLabel	This Pipe converts a line in SVMLight format to a Mallet instance with FeatureVector data and Label target.
class	Target2Double	Convert object in the target field into a floating-point numeric type
class	Target2FeatureSequence	Convert a token sequence in the target field into a feature sequence in the target field.
class	Target2Integer	Convert object in the target field into an integer numeric type
class	Target2Label	Convert object in the target field into a label in the target field.
class	Target2LabelSequence	convert a token sequence in the target field into a label sequence in the target field.
class	TargetRememberLastLabel	For each position in the target, remember the last non-background label.
class	TargetStringToFeatures
class	Token2FeatureVector	convert the property list on a token into a feature vector
class	TokenSequence2FeatureSequence	Convert the token sequence in the data field each instance to a feature sequence.
class	TokenSequence2FeatureSequenceWithBigrams	Convert the token sequence in the data field of each instance to a feature sequence that preserves bigram information.
class	TokenSequence2FeatureVectorSequence	Convert the token sequence in the data field of each instance to a feature vector sequence.
class	TokenSequence2PorterStems
class	TokenSequenceLowercase	Convert the text in each token in the token sequence in the data field to lower case.
class	TokenSequenceMatchDataAndTarget	Run a regular expression over the text of each token; replace the text with the substring matching one regex group; create a target TokenSequence from the text matching another regex group.
class	TokenSequenceNGrams	Convert the token sequence in the data field to a token sequence of ngrams.
class	TokenSequenceParseFeatureString	Convert the string in each field Token.text to a list of Strings (space delimited).
class	TokenSequenceRemoveNonAlpha	Remove tokens that contain non-alphabetic characters.
class	TokenSequenceRemoveStopPatterns	Remove tokens from the token sequence in the data field whose text matches any of a set of regular expressions.
class	TokenSequenceRemoveStopwords	Remove tokens from the token sequence in the data field whose text is in the stopword list.
class	ValueString2FeatureVector

Methods in cc.mallet.pipe that return Pipe

Modifier and Type	Method	Description
static Pipe	PipeUtils.concatenatePipes(Pipe p1, Pipe p2)
Pipe	SerialPipes.getPipe(int index)

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

Modifier and Type	Method	Description
java.util.ArrayList<Pipe>	SerialPipes.pipes()	Allows access to the underlying collection of Pipes.

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

Modifier and Type	Method	Description
static Pipe	PipeUtils.concatenatePipes(Pipe p1, Pipe p2)
abstract boolean	SerialPipes.Predicate.predicate(Pipe p)
static void	AddClassifierTokenPredictions.setInProduction(Pipe p, boolean value)

Constructors in cc.mallet.pipe with parameters of type Pipe

Constructor	Description
BranchingPipe(Pipe[] pipes)	Deprecated.
SerialPipes(Pipe[] pipes)

Constructor parameters in cc.mallet.pipe with type arguments of type Pipe

Constructor	Description
BranchingPipe(java.util.Collection<Pipe> pipeList)	Deprecated.
SerialPipes(java.util.Collection<Pipe> pipeList)

Uses of Pipe in cc.mallet.pipe.iterator

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

Modifier and Type	Method	Description
Pipe	DBInstanceIterator.getPipe()

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

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

Uses of Pipe in cc.mallet.pipe.tests

Subclasses of Pipe in cc.mallet.pipe.tests

Modifier and Type	Class	Description
static class	TestInstancePipe.Array2ArrayIterator
static class	TestSGML2TokenSequence.Array2ArrayIterator

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

Modifier and Type	Method	Description
Pipe	TestInstancePipe.createPipe()

Uses of Pipe in cc.mallet.pipe.tsf

Subclasses of Pipe in cc.mallet.pipe.tsf

Modifier and Type	Class	Description
class	CountMatches
class	CountMatchesAlignedWithOffsets
class	CountMatchesMatching
class	FeaturesInWindow
class	FeaturesOfFirstMention
class	LexiconMembership
class	OffsetConjunctions
class	OffsetFeatureConjunction
class	OffsetPropertyConjunctions
class	RegexMatches
class	SequencePrintingPipe	Created: Jul 6, 2005
class	Target2BIOFormat	Creates a LabelSequence out of a TokenSequence that is the target of an Instance.
class	TokenFirstPosition
class	TokenText
class	TokenTextCharNGrams
class	TokenTextCharPrefix
class	TokenTextCharSuffix
class	TokenTextNGrams
class	TrieLexiconMembership
class	WordVectors

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

Subclasses of Pipe in cc.mallet.share.casutton.ner

Modifier and Type	Class	Description
class	ConllNer2003Sentence2TokenSequence	Reads a data file in CoNLL 2003 format, and makes some simple transformations.

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

Subclasses of Pipe in cc.mallet.share.mccallum.ner

Modifier and Type	Class	Description
class	ConllNer2003Sentence2TokenSequence
class	TokenSequenceDocHeader

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

Subclasses of Pipe in cc.mallet.share.upenn.ner

Modifier and Type	Class	Description
class	FeatureWindow	Adds all features of tokens in the window to the center token.
class	LengthBins	A feature approximating string length.
class	ListMember	Checks membership in a lexicon in a text file.
class	LongRegexMatches	Matches a regular expression which spans several tokens.
class	NEPipes

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

Subclasses of Pipe in cc.mallet.share.weili.ner.enron

Modifier and Type	Class	Description
class	EnronMessage2TokenSequence

Uses of Pipe in cc.mallet.types

Methods in cc.mallet.types that return Pipe

Modifier and Type	Method	Description
Pipe	InstanceList.getPipe()	Returns the pipe through which each added Instance is passed, which may be null.

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

Modifier and Type	Method	Description
void	InstanceList.setPipe(Pipe p)	Change the default Pipe associated with InstanceList.

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

Constructor	Description
InstanceList(Pipe pipe)	Construct an InstanceList with initial capacity of 10, with given default pipe.
InstanceList(Pipe pipe, int capacity)	Construct an InstanceList having given capacity, with given default pipe.
PagedInstanceList(Pipe pipe, int numPages, int instancesPerPage)
PagedInstanceList(Pipe pipe, int numPages, int instancesPerPage, java.io.File swapDir)	Creates a PagedInstanceList where "instancesPerPage" instances are swapped to disk in directory "swapDir" if the amount of free system memory drops below "minFreeMemory" bytes

Uses of Pipe in cc.mallet.util

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

Modifier and Type	Method	Description
static void	DBBulkLoader.writeInstanceList(java.util.ArrayList<Pipe> pipes)