Uses of Class
cc.mallet.pipe.Pipe

Packages that use Pipe

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.grmm.learning
cc.mallet.grmm.learning.extract
cc.mallet.grmm.util
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.

Uses of Pipe in cc.mallet.classify

Fields in cc.mallet.classify declared as Pipe

protected Pipe

Classifier.instancePipe

Methods in cc.mallet.classify that return Pipe

Pipe	Classifier.getInstancePipe()

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

static int

MaxEnt.getNumParameters(Pipe instancePipe)

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

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)

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)

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

Pipe	Clusterer.getPipe()

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

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

static class

Clusterings2Clusterer.ClusteringPipe

Uses of Pipe in cc.mallet.extract

Methods in cc.mallet.extract that return Pipe

Pipe	Extractor.getFeaturePipe() Returns the pipe used by this extractor for.
Pipe	CRFExtractor.getFeaturePipe()
Pipe	Extractor.getTokenizationPipe() Returns the pipe used by this extractor to tokenize the input.
Pipe	CRFExtractor.getTokenizationPipe()

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

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

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

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

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

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

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

Pipe	Transducer.getInputPipe()
Pipe	Transducer.getOutputPipe()

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

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

class	TestCRF.TestCRF2String
static class	TestCRF.TestCRFTokenSequenceRemoveSpaces
class	TestMEMM.TestMEMM2String
static class	TestMEMM.TestMEMMTokenSequenceRemoveSpaces

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

static Pipe

TestMEMM.makeSpacePredictionPipe()

Uses of Pipe in cc.mallet.grmm.learning

Subclasses of Pipe in cc.mallet.grmm.learning

class

GenericAcrfData2TokenSequence Generic pipe that takes a linegroup of the form:

Methods in cc.mallet.grmm.learning that return Pipe

Pipe	ACRF.getInputPipe()

Methods in cc.mallet.grmm.learning with parameters of type Pipe

static ACRF

ACRF.makeFactorial(Pipe p, int numLevels)

Constructors in cc.mallet.grmm.learning with parameters of type Pipe

ACRF(Pipe inputPipe, ACRF.Template[] tmpls)
Create a ACRF for a 1-d sequence.

Uses of Pipe in cc.mallet.grmm.learning.extract

Fields in cc.mallet.grmm.learning.extract declared as Pipe

protected Pipe	ACRFExtractorTrainer.featurePipe
protected Pipe	ACRFExtractorTrainer.tokPipe

Methods in cc.mallet.grmm.learning.extract that return Pipe

Pipe	ACRFExtractor.getFeaturePipe()
Pipe	ACRFExtractor.getTokenizationPipe()

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

ACRFExtractorTrainer	ACRFExtractorTrainer.setPipes(Pipe tokPipe, Pipe featurePipe)
void	ACRFExtractor.setTokenizationPipe(Pipe pipe)

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

ACRFExtractor(ACRF acrf, Pipe tokPipe, Pipe featurePipe)

Uses of Pipe in cc.mallet.grmm.util

Subclasses of Pipe in cc.mallet.grmm.util

class	LabelsSequence2Assignment $Id: LabelsSequence2Assignment.java,v 1.1 2007/10/22 21:37:58 mccallum Exp $
class	RememberTokenizationPipe Created: Mar 17, 2005
class	SliceLabelsSequence * Created: Fri Jan 02 23:27:04 2004

Constructors in cc.mallet.grmm.util with parameters of type Pipe

PipedIterator(java.util.Iterator<Instance> subIt, Pipe pipe)
Deprecated.

Uses of Pipe in cc.mallet.pipe

Subclasses of Pipe in cc.mallet.pipe

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 with a lowercased version.
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	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	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	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	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	Target2FeatureSequence Convert a token sequence in the target field into a feature sequence in the target field.
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	TokenSequence2TokenInstances
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	TokenSequenceRemoveStopwords Remove tokens from the token sequence in the data field whose text is in the stopword list.

Methods in cc.mallet.pipe that return Pipe

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

java.util.ArrayList<Pipe>

SerialPipes.pipes() Allows access to the underlying collection of Pipes.

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

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

BranchingPipe(Pipe[] pipes)
Deprecated.

SerialPipes(Pipe[] pipes)

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

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

SerialPipes(java.util.Collection<Pipe> pipeList)

Uses of Pipe in cc.mallet.pipe.iterator

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

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

static class	TestInstancePipe.Array2ArrayIterator
static class	TestSGML2TokenSequence.Array2ArrayIterator

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

Pipe	TestInstancePipe.createPipe()

Uses of Pipe in cc.mallet.pipe.tsf

Subclasses of Pipe in cc.mallet.pipe.tsf

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

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

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

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

class

TokenSequenceDocHeader

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

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

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

class

EnronMessage2TokenSequence

Uses of Pipe in cc.mallet.types

Methods in cc.mallet.types that return Pipe

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

void	InstanceList.setPipe(Pipe p) Change the default Pipe associated with InstanceList.

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

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