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## Uses of Interface
cc.mallet.types.AlphabetCarrying

Packages that use AlphabetCarrying
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.grmm.learning |
cc.mallet.grmm.util |
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
`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` | `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` | `RankMaxEnt` Rank Maximum Entropy classifier.
`class` | `Winnow` Classification methods of Winnow2 algorithm.

Methods in cc.mallet.classify with parameters of type AlphabetCarrying
`boolean` | `NaiveBayesTrainer.alphabetsMatch(AlphabetCarrying object)`
`boolean` | `Classifier.alphabetsMatch(AlphabetCarrying object)`

Uses of AlphabetCarrying in cc.mallet.cluster.tui

Classes in cc.mallet.cluster.tui that implement AlphabetCarrying
`static class` | `Clusterings2Clusterer.ClusteringPipe`

Uses of AlphabetCarrying in cc.mallet.extract.pipe

Classes in cc.mallet.extract.pipe that implement AlphabetCarrying
`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
`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
`class` | `TestCRF.TestCRF2String`
`static class` | `TestCRF.TestCRFTokenSequenceRemoveSpaces`
`class` | `TestMEMM.TestMEMM2String`
`static class` | `TestMEMM.TestMEMMTokenSequenceRemoveSpaces`

Uses of AlphabetCarrying in cc.mallet.grmm.learning

Classes in cc.mallet.grmm.learning that implement AlphabetCarrying
`class` | `GenericAcrfData2TokenSequence` Generic pipe that takes a linegroup of the form:

Uses of AlphabetCarrying in cc.mallet.grmm.util

Classes in cc.mallet.grmm.util that implement AlphabetCarrying
`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

Uses of AlphabetCarrying in cc.mallet.pipe

Classes in cc.mallet.pipe that implement AlphabetCarrying
`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 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` | `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` | `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 `Label`s.
`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 with parameters of type AlphabetCarrying
`boolean` | `Pipe.alphabetsMatch(AlphabetCarrying object)`

Uses of AlphabetCarrying in cc.mallet.pipe.tests

Classes in cc.mallet.pipe.tests that implement AlphabetCarrying
`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
`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 AlphabetCarrying in cc.mallet.share.casutton.ner

Classes in cc.mallet.share.casutton.ner that implement AlphabetCarrying
`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
`class` | `TokenSequenceDocHeader`

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

Classes in cc.mallet.share.upenn.ner that implement AlphabetCarrying
`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
`class` | `EnronMessage2TokenSequence`

Uses of AlphabetCarrying in cc.mallet.types

Subinterfaces of AlphabetCarrying in cc.mallet.types
`interface` | `Labeling` A distribution over possible labels for an instance.

Classes in cc.mallet.types that implement AlphabetCarrying
`class` | `AugmentableFeatureVector`
`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` | `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
`boolean` | `FeatureVector.alphabetsMatch(AlphabetCarrying object)`
`boolean` | `FeatureSequence.alphabetsMatch(AlphabetCarrying object)`
`boolean` | `Instance.alphabetsMatch(AlphabetCarrying object)`
`static boolean` | `Alphabet.alphabetsMatch(AlphabetCarrying object1, AlphabetCarrying object2)` Convenience method that can often implement alphabetsMatch in classes that implement the AlphabetsCarrying interface.

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