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Packages that use AlphabetCarrying | |
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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 |
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Classes in cc.mallet.classify that implement AlphabetCarrying | |
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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 |
PRAuxClassifier
Auxiliary model (q) for E-step/I-projection in PR training. |
class |
RankMaxEnt
Rank Maximum Entropy classifier. |
class |
Winnow
Classification methods of Winnow2 algorithm. |
Methods in cc.mallet.classify with parameters of type AlphabetCarrying | |
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boolean |
NaiveBayesTrainer.alphabetsMatch(AlphabetCarrying object)
|
boolean |
Classifier.alphabetsMatch(AlphabetCarrying object)
|
Uses of AlphabetCarrying in cc.mallet.cluster.tui |
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Classes in cc.mallet.cluster.tui that implement AlphabetCarrying | |
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static class |
Clusterings2Clusterer.ClusteringPipe
|
Uses of AlphabetCarrying in cc.mallet.extract.pipe |
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Classes in cc.mallet.extract.pipe that implement AlphabetCarrying | |
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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 |
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Classes in cc.mallet.fst that implement AlphabetCarrying | |
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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 |
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Classes in cc.mallet.fst.tests that implement AlphabetCarrying | |
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class |
TestCRF.TestCRF2String
|
static class |
TestCRF.TestCRFTokenSequenceRemoveSpaces
|
class |
TestMEMM.TestMEMM2String
|
static class |
TestMEMM.TestMEMMTokenSequenceRemoveSpaces
|
Uses of AlphabetCarrying in cc.mallet.grmm.learning |
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Classes in cc.mallet.grmm.learning that implement AlphabetCarrying | |
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class |
GenericAcrfData2TokenSequence
Generic pipe that takes a linegroup of the form: |
Uses of AlphabetCarrying in cc.mallet.grmm.util |
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Classes in cc.mallet.grmm.util that implement AlphabetCarrying | |
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class |
LabelsAssignment
A special kind of assignment for Variables that can be arranged in a LabelsSequence. |
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 |
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Classes in cc.mallet.pipe that implement AlphabetCarrying | |
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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 |
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 & 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 | |
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boolean |
Pipe.alphabetsMatch(AlphabetCarrying object)
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Uses of AlphabetCarrying in cc.mallet.pipe.tests |
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Classes in cc.mallet.pipe.tests that implement AlphabetCarrying | |
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static class |
TestInstancePipe.Array2ArrayIterator
|
static class |
TestSGML2TokenSequence.Array2ArrayIterator
|
Uses of AlphabetCarrying in cc.mallet.pipe.tsf |
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Classes in cc.mallet.pipe.tsf that implement AlphabetCarrying | |
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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 |
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Classes in cc.mallet.share.casutton.ner that implement AlphabetCarrying | |
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class |
ConllNer2003Sentence2TokenSequence
Reads a data file in CoNLL 2003 format, and makes some simple transformations. |
Uses of AlphabetCarrying in cc.mallet.share.mccallum.ner |
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Classes in cc.mallet.share.mccallum.ner that implement AlphabetCarrying | |
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class |
TokenSequenceDocHeader
|
Uses of AlphabetCarrying in cc.mallet.share.upenn.ner |
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Classes in cc.mallet.share.upenn.ner that implement AlphabetCarrying | |
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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 |
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Classes in cc.mallet.share.weili.ner.enron that implement AlphabetCarrying | |
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class |
EnronMessage2TokenSequence
|
Uses of AlphabetCarrying in cc.mallet.types |
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Subinterfaces of AlphabetCarrying in cc.mallet.types | |
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interface |
Labeling
A distribution over possible labels for an instance. |
Classes in cc.mallet.types that implement AlphabetCarrying | |
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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 |
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 | |
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boolean |
Instance.alphabetsMatch(AlphabetCarrying object)
|
boolean |
FeatureVector.alphabetsMatch(AlphabetCarrying object)
|
boolean |
FeatureSequence.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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