Uses of Interface
cc.mallet.types.AlphabetCarrying

Packages that use AlphabetCarrying

Package	Description
cc.mallet.classify	Classes for training and classifying instances.
cc.mallet.cluster.tui
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.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 AlphabetCarrying in cc.mallet.classify

Classes in cc.mallet.classify that implement AlphabetCarrying

Modifier and Type	Class	Description
class	AdaBoost	AdaBoost Robert E.
class	AdaBoostM2	AdaBoostM2
class	BaggingClassifier
class	BalancedWinnow	Classification methods of BalancedWinnow algorithm.
class	C45	A C4.5 Decision Tree classifier.
class	Classifier	Abstract parent of all Classifiers.
class	ClassifierEnsemble	Classifer for an ensemble of classifers, combined with learned weights.
class	ConfidencePredictingClassifier
class	DecisionTree	Decision Tree classifier.
class	MaxEnt	Maximum Entropy (AKA Multivariate Logistic Regression) classifier.
class	MCMaxEnt	Maximum Entropy classifier.
class	MostFrequentClassAssignmentTrainer	A Classifier Trainer to be used with MostFrequentClassifier.
class	MostFrequentClassifier	A Classifier that will return the most frequent class label based on a training set.
class	NaiveBayes	A classifier that classifies instances according to the NaiveBayes method.
class	NaiveBayesTrainer	Class used to generate a NaiveBayes classifier from a set of training data.
class	PRAuxClassifier	Auxiliary model (q) for E-step/I-projection in PR training.
class	RandomAssignmentTrainer	A Classifier Trainer to be used with RandomClassifier.
class	RandomClassifier	A Classifier that will return a randomly selected class label.
class	RankMaxEnt	Rank Maximum Entropy classifier.
class	Winnow	Classification methods of Winnow2 algorithm.

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

Modifier and Type	Method	Description
boolean	Classifier.alphabetsMatch(AlphabetCarrying object)
boolean	MostFrequentClassAssignmentTrainer.alphabetsMatch(AlphabetCarrying object)
boolean	NaiveBayesTrainer.alphabetsMatch(AlphabetCarrying object)
boolean	RandomAssignmentTrainer.alphabetsMatch(AlphabetCarrying object)

Uses of AlphabetCarrying in cc.mallet.cluster.tui

Classes in cc.mallet.cluster.tui that implement AlphabetCarrying

Modifier and Type	Class	Description
static class	Clusterings2Clusterer.ClusteringPipe

Uses of AlphabetCarrying in cc.mallet.extract.pipe

Classes in cc.mallet.extract.pipe that implement AlphabetCarrying

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 AlphabetCarrying in cc.mallet.fst

Classes in cc.mallet.fst that implement AlphabetCarrying

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

Uses of AlphabetCarrying in cc.mallet.fst.tests

Classes in cc.mallet.fst.tests that implement AlphabetCarrying

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

Uses of AlphabetCarrying in cc.mallet.pipe

Classes in cc.mallet.pipe that implement AlphabetCarrying

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.
static class	AddClassifierTokenPredictions.TokenClassifiers	This inner class represents the trained token classifiers.
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	Pipe	The abstract superclass of all Pipes, which transform one data type to another.
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 with parameters of type AlphabetCarrying

Modifier and Type	Method	Description
boolean	Pipe.alphabetsMatch(AlphabetCarrying object)

Uses of AlphabetCarrying in cc.mallet.pipe.tests

Classes in cc.mallet.pipe.tests that implement AlphabetCarrying

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

Uses of AlphabetCarrying in cc.mallet.pipe.tsf

Classes in cc.mallet.pipe.tsf that implement AlphabetCarrying

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 AlphabetCarrying in cc.mallet.share.casutton.ner

Classes in cc.mallet.share.casutton.ner that implement AlphabetCarrying

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

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

Classes in cc.mallet.share.mccallum.ner that implement AlphabetCarrying

Modifier and Type	Class	Description
class	ConllNer2003Sentence2TokenSequence
class	TokenSequenceDocHeader

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

Classes in cc.mallet.share.upenn.ner that implement AlphabetCarrying

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 AlphabetCarrying in cc.mallet.share.weili.ner.enron

Classes in cc.mallet.share.weili.ner.enron that implement AlphabetCarrying

Modifier and Type	Class	Description
class	EnronMessage2TokenSequence

Uses of AlphabetCarrying in cc.mallet.types

Subinterfaces of AlphabetCarrying in cc.mallet.types

Modifier and Type	Interface	Description
interface	Labeling	A distribution over possible labels for an instance.

Classes in cc.mallet.types that implement AlphabetCarrying

Modifier and Type	Class	Description
class	AugmentableFeatureVector
class	BiNormalSeparation	Bi-Normal Separation is a feature weighting algorithm introduced in: An Extensive Empirical Study of Feature Selection Metrics for Text Classification, George Forman, Journal of Machine Learning Research, 3:1289--1305, 2003.
class	ExpGain
class	FeatureCounts
class	FeatureSelection
class	FeatureSequence	An implementation of Sequence that ensures that every Object in the sequence has the same class.
class	FeatureSequenceWithBigrams	A FeatureSequence with a parallel record of bigrams, kept in a separate dictionary
class	FeatureVector	A subset of an Alphabet in which each element of the subset has an associated value.
class	FeatureVectorSequence
class	GainRatio	List of features along with their thresholds sorted in descending order of the ratio of (1) information gained by splitting instances on the feature at its associated threshold value, to (2) the split information.
class	GradientGain
class	InfoGain
class	Instance	A machine learning "example" to be used in training, testing or performance of various machine learning algorithms.
class	InstanceList	A list of machine learning instances, typically used for training or testing of a machine learning algorithm.
class	KLGain
class	Label
class	Labelings	A collection of labelings, either for a multi-label problem (all labels are part of the same label dictionary), or a factorized labeling, (each label is part of a different dictionary).
class	Labels	Usually some distribution over possible labels for an instance.
class	LabelSequence
class	LabelsSequence	A simple Sequence implementation where all of the elements must be Labels.
class	LabelVector
class	MultiInstanceList	An implementation of InstanceList that logically combines multiple instance lists so that they appear as one list without copying the original lists.
class	Multinomial	A probability distribution over a set of features represented as a FeatureVector.
static class	Multinomial.Logged	A Multinomial in which the values associated with each feature index fi is Math.log(probability[fi]) instead of probability[fi].
class	NullLabel	Object that carries a LabelAlphabet.
class	PagedInstanceList	An InstanceList which avoids OutOfMemoryErrors by saving Instances to disk when there is not enough memory to create a new Instance.
class	PartiallyRankedFeatureVector
class	RankedFeatureVector
class	ROCData	Tracks ROC data for instances in Trial results.
class	StringEditFeatureVectorSequence

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

Modifier and Type	Method	Description
static boolean	Alphabet.alphabetsMatch(AlphabetCarrying object1, AlphabetCarrying object2)	Convenience method that can often implement alphabetsMatch in classes that implement the AlphabetsCarrying interface.
boolean	FeatureSequence.alphabetsMatch(AlphabetCarrying object)
boolean	FeatureVector.alphabetsMatch(AlphabetCarrying object)
boolean	Instance.alphabetsMatch(AlphabetCarrying object)